CEO @ HiCounselor | 2X O-1 Visa Holder | Ex-Deloitte, PwC | Building a Community to Help Job Seekers with Referrals

I came to the US in 2014 for a master's degree at Duke University.

Post-graduation, I was fortunate to start my career as a Tech Consultant at PwC and then with Deloitte in San Francisco. 

However, I always wanted to utilize my tech skills to start my own business. 

In 2020, I decided to leave my job and launched HiCounselor in San Francisco.

The decision wasn't easy as I had many open questions, concerns about immigration, and fear of failure. 

Fortunately, the decision turned out to be the right one. 
✅ Generated millions in revenue
✅ Raised VC funds from top investors in Silicon Valley
✅ Employ more than 40 people in the US, Canada, and India.

👉 These four years have taught me a lot about starting a company as an immigrant in the US, and I want to share this journey with every technical professional who wants to make side income or become a full-time entrepreneur.

✉️ Join my newsletter (https://lnkd.in/gPBziwZ3), where I share weekly actionable tips. 


👉  If you are not ready to leave your full-time job at this time, that's okay.
You can join hicounselor.com/mentor and make a side income by sharing your technical expertise. 

If you need any help, feel free to message me or comment on my posts. I will respond as soon as possible.

Aditya Sharma

𝗪𝗵𝘆 𝗱𝗼 𝗺𝗼𝗱𝗲𝗹𝘀 𝘀𝘁𝗶𝗹𝗹 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗲? 🤔
Most hallucinations are actually RAG stack failures caused by broken context.

When retrieval is weak, the model does exactly what it was trained to do. It completes the pattern using the wrong information.

This is why understanding the full RAG stack matters.

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗥𝗔𝗚 𝗦𝘁𝗮𝗰𝗸 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 👇

1. Ingest & Data Processing
↳ Collect, clean, and structure raw data
↳ Poor ingestion leads to poor retrieval
Tools: Kubeflow, Apache Airflow, Apache NiFi, LangChain Loaders, Haystack Pipelines, OpenSearch

2. Embedding Models
↳ Convert text into semantic meaning
↳ Determines how well the system understands similarity
Tools: HuggingFace Transformers, Sentence Transformers, JinaAI, Cognita, Nomic, LLMWare

3. Vector Databases
↳ Store embeddings efficiently for fast lookup
↳ Enables scalable semantic search
Tools: Milvus, Weaviate, PgVector, Chroma, Qdrant

4. Retrieval & Ranking
↳ Finds the most relevant context for each query
↳ Weak retrieval = confident hallucinations
Tools: FAISS, Weaviate, JinaAI Rerankers, Haystack Retrievers

5. LLM Frameworks & Orchestration
↳ Connect pipelines, tools, and workflows
↳ Ensure reliability end to end
Tools: LangChain, LlamaIndex, Haystack, CrewAI, HuggingFace

6. LLMs (The Responder)
↳ Generate answers grounded in retrieved context
↳ Model size matters less than context quality
Models: LLaMA, Mistral, Phi-2, DeepSeek, Qwen, Gemma

7. Frontend Layer
↳ Where users interact with intelligence
↳ Trust is built at the interface
Tools: NextJS, Streamlit, VueJS, SvelteKit

🔥 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆:
Most hallucinations are not caused by bad models.
They’re caused by bad context.

📌 𝗚𝗲𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗟𝗶𝘀𝘁 (𝗳𝗿𝗲𝗲): https://lnkd.in/gHRjrXQG

👉 Follow me Aditya Sharma for more and 🔄 Repost this to help others use AI

#AI #RAG #OpenSource

Helping Top 1% AI Talent Land Role at Elite AI Companies | Turning Ideas into Real Businesses Using AI | 160k+ Followers | Ex-Deloitte & PwC

Everyone is talking about Agentic AI…
but almost no one tells you when to use which tool.

So I made this simple breakdown 👇
Top 10 Agentic AI tools and where they actually shine.

Most people jump straight into building agents
→ then struggle with chaos, loops, or over-engineering.


𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲:
↳ Some tools are great for automation
↳ Some for multi-agent collaboration
↳ Some for RAG + memory
↳ Some for enterprise workflows
↳ Some just for quick demos


𝗛𝗲𝗿𝗲’𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗰𝗵𝗼𝗼𝘀𝗲 👇

> 𝗻𝟴𝗻 → Use this when you want fast workflow automation, lots of app integrations, or self-hosted control with minimal code.

> 𝗔𝘂𝘁𝗼𝗚𝗲𝗻 → Use this when multiple AI agents need to talk, debate, and collaborate on complex problems.

> 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 → Use this when you’re building real AI products with LLMs, tools, memory, or advanced RAG pipelines.

> 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺 → Use this when non-technical teams need visual, no-code automation across SaaS tools.

> 𝗖𝗿𝗲𝘄𝗔𝗜 → Use this when agents need clear roles (researcher, planner, executor) and structured teamwork.

> 𝗙𝗹𝗼𝘄𝗶𝘀𝗲 → Use this when you want drag-and-drop AI agents or quick RAG prototypes.

> 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 → Use this when agents must plan, remember, loop, and handle complex state-based logic.

> 𝗢𝗽𝗲𝗻𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘁𝗮𝗰𝗸 → Use this when you need quick demos with built-in tools, memory, and function calling.

> 𝗟𝗹𝗮𝗺𝗮𝗜𝗻𝗱𝗲𝘅 → Use this when your AI must deeply understand and reason over private or structured data.

> 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗞𝗲𝗿𝗻𝗲𝗹 → Use this when you’re building enterprise-grade, scalable, memory-aware AI systems.

The biggest mistake people make?
Using enterprise tools for prototypes
or prototype tools for production

📌 𝗚𝗲𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗟𝗶𝘀𝘁 (𝗳𝗿𝗲𝗲): https://lnkd.in/gHRjrXQG

👉 Follow me Aditya Sharma for more and 🔄 Repost this to help others.

#AgenticAI #AIAgents #AIEngineering

AI Agents are quickly becoming the foundation of modern automation, products, and AI-powered businesses.

In this session of the AI for Everyone series, this beginner-friendly live workshop will help you understand how AI agents actually work, how they learn, and how you can start using them confidently even if you are new to AI.

This is a conceptual + practical fundamentals session, designed to remove confusion and build strong foundations.

What you’ll learn in this 30-minutes live session:

⚡ AI Agent Fundamentals
Understand what AI agents are, how they differ from AI tools, and where they are used.

🤖 How AI Agents Learn and Make Decisions
Learn the core concepts behind memory, tools, reasoning, and automation.

🛠 Real Examples and Workflows
See how AI agents operate in real scenarios across business and personal workflows.

🌟 Getting Started the Right Way
Learn how beginners, professionals, and founders can start building and using AI agents correctly.

Whether you are a student, beginner, recruiter, founder, tech professional, or simply curious about AI, this session will give you clarity and confidence to move forward.

✨ Free to attend. Register now to save your spot.

Session 16: Fundamentals of Learning AI Agents

Hari Prasad Renganathan

Associate Data Scientist

Hari Renganathan

America 🇺🇸 gave me everything.
And then it asked me to leave.

A fancy degree.
Really good pay.
My dream job.
And one visa rejection later, it was all gone.

I didn’t fail.
My career didn’t fail.
The system did.

Since then, I’ve been meeting immigrants 
every single day who are stuck in the same loop:

-- Qualified but “visa dependent”
-- Talented but “not eligible”
-- Hired in interviews but rejected by paperwork

The $100k rule.
The sponsorship excuses.
The silence from companies who say “we loved you” and then disappear.

Being an international student isn’t just hard.
It’s mentally exhausting.
And it affects families, not just resumes.

Very few people talk about this openly.
So I decided to do something about it.

I’m hosting The Immigrant Summit this February.
One room.
One call.
Real stories.
Real hacks.

People who figured out how to:
-- Get jobs as immigrants
-- Break out of the H1B and F1 loops
-- Navigate visas without destroying their careers
-- Build companies, move countries, and still win

I did it too.
I found a different path.

Moved to London.
Started building again.

And realized there are options we’re never taught.
This summit is about making those options visible.

RSVP here: https://lnkd.in/eUr5UBre

Here’s the ask 👇
Tag one immigrant or international student you admire.
Someone who did something “impossible.”

Tell me why they should be part of this summit.
I’ll personally reach out to them
and invite them to be on the stage.

No gatekeeping.
No fake motivation.
Just clarity, courage, and community.
We’re done playing small because of paperwork.


If this resonates, follow along.
If you know someone who needs this, tag them.
We’re not alone anymore.

PS: Asking Soundarya, Pritesh, Harnoor if they are interested to be a part of the virtual summit.

3 Bags. 2 Months of Rent. $88,000 in Student Debt.
That’s everything I carried with me when I stepped foot in the US 🇺🇸 4.5 years ago.

The excitement of “living abroad” didn’t last long. 
Reality hit hard
Loneliness, survival struggles, 
and the constant pressure to prove myself.

My first year looked like this:
-- 15-hour days balancing part-time jobs, coursework, and endless internship applications.
-- Carrying furniture across campus for $16/hr just to cover groceries.
-- Missing Diwalis, weddings, and even funerals back home.
-- Sending out 1000+ applications, facing rejection after rejection.

But things slowly turned.

After graduation, I found my rhythm again:
-- Landed my dream role as a Data Scientist at a top gaming company.
-- Now, working as a Senior AI Engineer in a YC-backed startup.
-- Built a LinkedIn community of 47,000+ people (grateful every day for this).
-- Featured on TedX, BBC, Times Square, and Columbia Startups.
-- Started my own company.
-- Helped 800+ people break into AI.

And here’s the truth:
This post is not really about me.
It’s about you.

Because if you’re in your “dark season” right now, 
Thinking life is unfair, wondering if you’ll ever get out of it, 
Let this be a reminder:
-- Every setback is preparing you for something far greater.
-- Your struggles are shaping you into the person who can handle tomorrow’s blessings.
-- You are stronger than you think.

If my story proves anything, it’s this:
You will come out of it.

And your story will inspire someone else one day.

So keep going. Keep believing. Keep building.

P.S. The picture on the left was me when I landed in the US, first flight of my life. Looking back now, I feel like a completely different person.

Dedicating this to every International student 🤝 (You are bigger than you think)

5 years ago,
Going to the US 🇺🇸 was my dream.

4 years ago,
Getting the F1 visa was my dream.

3 years ago,
Getting a job and starting OPT was my dream.

2 years ago,
Getting the H1B was my dream.

1 year ago,
When America didn’t give me the visa,
Going to the UK became my dream.

Today,
I have everything
(except H1B. That beef is personal 😅)

Here’s what I learned:
Visa controls an immigrant’s life.
Career. 
Paycheck. 
Stability. 
Family visits.

But the dream was never the visa.
It was FREEDOM.

Freedom to work.
Freedom to plan.
Freedom to live without fear.

That’s why, if I return to the US,
I want a visa that gives me freedom
like O1 or EB1A.

If you’re stuck in the visa loop 🔁
and want optionality, not dependency,

I’ve partnered with EB1A Experts
for a free consultation call - https://lnkd.in/eAq-qAmb

One life. 
Go for what you want.

Dedicating this to every international student who feels stuck 🥂

I turned 26 today.

I thought I’d write
“26 things I learned in 26 years.”

Then I realised something.
I don’t need 26.
I need just one.

👉 Go for what you want.

One life.
No draft version.

If you want to do a master’s,
go for it.

If you want to travel,
go for it.

If you want to switch careers,
start over,
move countries,
build something risky,
quit something comfortable,

Go for it.

People will always have opinions.
Regrets are harder to live with.

26 taught me this:
Life doesn’t reward hesitation.

It rewards action.
Here’s to choosing boldly. 🍻

🇺🇸 H1B is not the only option.
But nobody tells you that.

Every March, the same cycle repeats.
Smart people.
Top degrees.
Great jobs.

All reduced to…
a lottery.
If you didn’t get H1B
(or you’re tired of living year-to-year),
here’s the truth:

You still have options.
👇 Let me break them down.

===== 🇺🇸  United States =======
If you still want to stay in the US:
1️⃣ O-1 Visa
-- For people with proven work
-- impact, publications, awards, press, speaking.
-- Hard, yes.
-- But no lottery.
2️⃣ EB-1A (Green Card)
-- The O-1’s big brother.
-- Higher bar.
-- Permanent freedom.
-- Self-petition possible.
👉 Not “genius only.”
It’s about positioning + evidence, not GPA.

===== 🇨🇦 Canada =======
Often ignored. Quietly practical.
3️⃣ Express Entry
-- Points-based
-- Transparent
-- Predictable
Reality check:
You’ll likely be borderline on points
1 year of Canadian experience helps a lot
Still:
Way more humane than a lottery.

===== 🇬🇧 United Kingdom =======
Two underrated visas:
4️⃣ High Potential Individual (HPI)
 -- If you graduated from a top 100 global university
 → no sponsorship needed.
5️⃣ Global Talent Visa
-- Tech, AI, research, founders
-- Hot take:
-- The bar is often easier than O-1 / EB-1A
-- if you understand how to tell your story.
-- You can self-petition.

===== 🇦🇪 United Arab Emirates =======
Dubai isn’t just Instagram anymore.
6️⃣ Golden Visa
-- For professionals, founders, researchers, students
-- Long-term residency
-- Zero income tax
-- Growing tech + startup ecosystem.
-- Massively underrated.

🌍 Other real options people don’t talk about

🇦🇺 Australia – Skilled Independent visas
🇩🇪 Germany – EU Blue Card
🇳🇱 Netherlands – Highly Skilled Migrant
🇸🇬 Singapore – Tech-friendly EP route

Each has trade-offs.
Each beats waiting on luck.

Hard truth:
If your entire career depends on one visa,
you don’t have stability.
You have hope.

Real stability comes from:
-- Transferable skills
-- Proof of impact
-- Geographic optionality

The goal isn’t America.
The goal is options.

If you’re on H1B, STEM OPT, or “wait mode”
this post is your sign to zoom out.

👇 Comment “OPTIONS”
 and I’ll break down which path fits which profile in the next post.

My last 4 years in the US 🇺🇸 looked like this:
-- Earned an Ivy League degree
-- Got my first Data Science job without prior experience
-- Reached the finals of Columbia Startup Competition (Top 5)
-- Spoke at TEDx, Browserstack, AI Camp @ Google and more
-- Mentored 800+ students to break into AI
-- Founded my own company

But my last 4 years also looked like this:
-- Became a victim of the H1B lottery → left US 🇺🇸
-- Spent months on startup experiments that failed before finding traction
-- Went 4+ months without a single interview
-- Faced multiple final-round rejections (those hurt the most)
-- Did labour-intensive part-time jobs just to feed myself

It was messy. But also transformative.

And more importantly, it gave me something permanent: 
An unshakable self-belief.

I’m not sharing this for sympathy.

If you’re an international student, 
you probably know this reality even better than I do.

We never saw this coming. But here we are.

What I’ve learned:
--> Failure isn’t the end; it’s a tool for growth.

Resilience doesn’t come from comfort, it comes from chaos.

To everyone still figuring out careers, visas, and life:
This one’s for you. 🙌
Activate to view larger image,

4 years ago, today.
I was moving furniture in the US 🇺🇸
Getting paid $16/hour.

No fancy title.
No career plan.
Just an $88,000 education loan in my name.

Fast forward to today.
I’m a Senior AI Engineer
at a YC-backed startup
earning more than $90/hour.

From the outside, life looks “sorted”.
But here’s the truth 👇

The problems never disappear.
They just change in magnitude.

Back then, my problems were:
-- Getting a job
-- Paying off debt

Today, my problems are:
-- Not getting the H1B visa
-- Leaving the US
-- Starting life again in London

Different phase. Same pressure.
And everything ties back to one word:
VISA.

Life is already hard.
Now add the immigrant layer.

Away from home.
Cultural differences.
Loneliness.
Uncertainty.
And paperwork deciding your future.

I genuinely thought my life was over after 3 H1B rejections.
Turns out, it wasn’t.
I’m now on a UK 🇬🇧 Skilled Worker visa.

New country. New chapter. New problems. New hope.

Life surprises you when you keep going.
That’s why I’m organizing The Immigrant Summit on Feb 7 
(RSVP using the link in the comment)

One place.
Real experts.
Real options.
Real stories.

If you’re an international student or an immigrant navigating careers, visas, or uncertainty, this is for you.

This is just a small help from my side.
Bringing clarity where confusion usually lives.

And if you’re an immigrant/ international student, know this:
You are NOT alone.
This too shall pass 💛

I changed my “dream” 4 times across 3 careers and 2 countries.

I was a Biology student once
and I thought that was my dream.

I was a Mechanical Engineer once
and I thought that was my dream.

I was a Data Scientist once
and I thought that was my dream.

I was in America
and I thought that was my dream.

Today, I’m none of those.
I work in AI.
I live in London.
And yes… I still think this is my dream.

Here’s what no one prepares you for:
Dreams don’t break overnight.
They quietly stop fitting.

What excited you at 18
feels small at 22
and incomplete at 25.

That doesn’t mean you were wrong.
It means you grew.

The mistake isn’t changing dreams.
The mistake is forcing yourself to live
someone else’s version of success
just because you’ve already invested years into it.

If you’re reading this feeling confused, behind, or “off-track”
you’re probably exactly where growth starts.

Dreams change.
Interests change.
You evolve.

And one day, you’ll realize
the courage wasn’t in sticking to one dream

It was in giving yourself permission
to choose a new one.

I’m hosting an event for immigrants.
Because I’ve lived this life.

OPT.
3 H1B rejections.
Career uncertainty.
And a forced move out of the US.

Most advice online is theory.
This event is not.

On February 7, 2026, I’m hosting The Immigrant Summit
An online, no-BS conversation about jobs, visas, and long-term career strategy.

What we’ll cover:
-- How immigrants actually land jobs in 2026
-- Resume and networking strategies that work when visas are involved
-- OPT, H1B, Green Card, EB1A. What no one explains clearly
-- Real stories from people who’ve done it, not just talked about it

We’re bringing together:
Industry leaders.
Immigrant builders.
People who’ve navigated the system successfully.
Your favorite: Sunjana, Saloni, Sumit (looking for more speakers. Tag an immigrant you admire 👇)

This is not motivational content.
This is practical clarity.

Hosted by me.
Event sponsor: EB1A Experts.
Powered by MyRealProduct.

Registrations are open.
Seats are limited.

If you’re an international student or immigrant
and tired of guessing your next move,

👉 Register for The Immigrant Summit here: https://lnkd.in/eUr5UBre


See you soon. This one matters.

🔁 Repost this to your immigrant community. 
Let's grow together.

“If you’re still job hunting like it’s 2020, you’re already losing.”
I’m going to say this bluntly because no one else will.

Applying to jobs and waiting
is not a strategy in 2026.

It’s hope.
Here’s what actually works 👇

1️⃣ Your LinkedIn profile is not a resume.
It’s a landing page.
Stop being humble.
Show everything you’ve built.

Everything you shipped.
Everything you survived.

Your headline, photo, and banner decide
whether someone clicks
or scrolls past your career.

2️⃣ Before you DM anyone, comment.
This is where most people mess up.
Engage with posts from people you want to work with.

Be early. Be genuine. Say something real.
I’ve literally hired people
who commented on my posts first
and then DMed me later.

Not because they were the smartest.
Because they showed intent.

3️⃣ Apply. Then don’t disappear.
After every application:
Reach out to VPs.
Directors.
Hiring managers.

A short, human message beats
a perfect resume sitting in an ATS.

4️⃣ If you want startups, talk to founders.
Not recruiters.
Not portals.
Founders hire fast
when they see hunger and clarity.
Send a connection request.
Add a note.
Mean it.

5️⃣ Create content, even if it’s messy.
Not to be an influencer.
To be visible.
Because once you’ve engaged and connected,
your posts show up on their feed.
And now you’re not a stranger anymore.

-- Here’s the uncomfortable truth:
Most people lose jobs
not because they’re bad
but because no one knows what they can do.

I’ve been on both sides.
Applying.
Hiring.
Getting ignored.
Choosing from a crowded inbox.

Stability isn’t a job anymore.
It’s being seen, trusted, and remembered.

This is how job hunting works in 2026.
Not referrals.
Not just applying.
Not waiting.

Leverage > luck.
If this helped, save it.
If it pissed you off, good.
That means it worked.

2 things that changed my life:


1. Taking action before I felt ready.

I waited for confidence.
Clarity.
Perfect timing.
None of them showed up.

The moment I moved anyway
things started compounding.

2. Sharing in public, even when it felt uncomfortable.

Posting before I was “good enough”.
Talking before I was “polished”.
Building while learning.

Opportunities didn’t come from being perfect.
They came from being visible.

Looking back,
nothing magical happened overnight.

I just stopped waiting.
And started.

If you’re stuck right now, read this again.



-----
PS: Don't judge my selfie and call me a boomer.

If I had to bet my life on 2 careers for the next 5 years,
I wouldn’t hesitate for a second.

1️⃣ AI Engineering.
2️⃣ Content Creation.

Not “Data Science.”
Not “Product Management.”
Not “MBA + networking.”

Here’s why 👇

AI Engineering is leverage.
It’s the ability to build systems that work while you sleep.
Automate workflows.
Replace repetitive labor.
Ship faster than entire teams used to.

If you can build with AI,
you’re not competing for jobs anymore.
You’re creating options.

And content creation?
That’s distribution.
That’s trust at scale.
That’s people knowing your name before they see your resume.

Skills without distribution = invisible.
Distribution without skills = temporary.

Together?
They’re unfair.

I’ve seen insanely smart people lose opportunities
because no one knew what they were capable of.
I’ve seen average builders win
because they showed their work every single day.

The scary part?
Most people are still:
 • Collecting certificates
 • Waiting for permission
 • Hoping the market “improves”
While the game has already changed.

The next 5 years won’t reward who’s smartest.
They’ll reward who builds + communicates.

If you can:
 • Build real things with AI
 • Explain them clearly to the internet

You don’t need a perfect plan.
You don’t need luck.
You don’t need permission.
You just need to start.

And if this post made you uncomfortable…
good.
That’s usually where the future begins.

Most people think I’m confident.
I speak on stages.
I post online.
I build in public.

What they don’t see?
I almost didn’t start.
I was scared to post my first video.

Hated my voice.
Overthought every sentence.

I thought:
 “I need to look better.”
 “I need to sound smarter.”
 “I’ll start once I’m ready.”

Spoiler:
That day never comes.

The people you see winning online?
They weren’t fearless.
They just started ugly.

Here’s the real advantage nobody talks about:
Consistency beats confidence.
Action beats clarity.
Starting beats waiting.

I’m documenting this phase properly now.
Not polished.
Not perfect.
Just real progress.

LinkedIn gets the thinking.
Instagram gets the messy execution.

If you want to see what building in real time actually looks like
—not the highlight reel—
👉 Follow me on Instagram - https://lnkd.in/gfZeqm4T
 
I’m posting things I won’t clean up for LinkedIn.

Most networking events aren’t built for immigrants 🇺🇸
They’re built to filter them.

Not intentionally.
But effectively.

I’ve been to rooms where:
-- The dress code mattered more than the work
-- Small talk mattered more than substance
-- Your accent quietly decided how long the conversation lasted

I didn’t feel out of place because I lacked talent.
I felt out of place because 
the room wasn’t designed for people like me.

Over time, I realized something uncomfortable.

Immigrants don’t struggle because they’re underqualified.
They struggle because access is uneven.

That’s why something happening this February stood out to me. 

The Extraordinary Gala by Manifest Law (happening in SF & NYC)

It’s not another loud conference or awkward mixer.
It’s an invite-only evening built around stories, not pitches.

A room intentionally created for immigrants 
who are building, leading, and shaping what’s next.

The kind of room I wish existed when I was starting out.

If something like this had been around earlier,
I wouldn’t have spent so many years 
wondering if I belonged in the room at all.

Progress doesn’t always come from working harder.

Sometimes 
it comes from finally being invited into the right room.
And the right room can change everything.

RSVP here: https://lnkd.in/gg9cxbuz

#ManifestLawPartner

I judged a hackathon.

18 teams.
25 hours of building.
Intense presentations.

And it confirmed something I already believed.

Resumes are outdated.
Applications are outdated.
Traditional interviews are outdated.

This is not how great people are identified anymore.

In one weekend, you can see:
-- Who can scope fast
-- Who can build under pressure
-- Who can explain decisions clearly
-- Who freezes when things break
-- Who actually ships

No CV can show this.
You don’t learn signal from:
“Tell me about yourself.”

You learn signal from:
“Show me what you built.”

The future of hiring looks like this:
Hackathons.
Build sprints.
Real problems.
Real deadlines.

Not 6 interview rounds.
Not keyword-stuffed resumes.

If you’re still spending weeks polishing your resume in 2026,
you’re playing an old game.

Builders don’t wait to be shortlisted.
They show up and prove it.

Uncomfortable truth.
But it’s already happening.

Comment "Hackathon" I'll send the list of hackathons happening in the US/UK

Interviewers love asking this AI system design question:
“Can you explain RAG?”

RAG (Retrieval-Augmented Generation) is an AI architecture pattern
that lets LLMs retrieve external data before 
generating an answer, instead of 
relying only on their training data.

𝗪𝗵𝘆 𝘄𝗮𝘀 𝗥𝗔𝗚 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝗱?

Before RAG, teams either:

- trusted the LLM’s internal knowledge (hallucinations galore), or
- fine-tuned models for every new dataset (slow, expensive, brittle).

The result:

- outdated answers
- no grounding in private data
- low trust in production AI systems

RAG fixed this by separating knowledge from reasoning.

𝗧𝗵𝗲 𝗶𝗱𝗲𝗮 𝗶𝗻 𝟯𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀:

-- Ingestion
Raw documents (PDFs, docs, DBs, APIs) are chunked and embedded.

-- Retrieval
User query is embedded → relevant chunks are fetched via semantic search.

-- Generation
Retrieved context + user query are sent to the LLM to generate a grounded answer.

The LLM doesn’t “guess”.
It answers using your data.

𝗘𝗮𝗰𝗵 𝘀𝘁𝗲𝗽 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻:

↳ What knowledge do we have?
↳ What is relevant to this query?
↳ How do we generate a safe, accurate response?

𝗪𝗵𝘆 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿𝘀 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀 𝗮𝗻𝘀𝘄𝗲𝗿

↳ Because it shows you understand:

- grounding and hallucination control
- system design beyond “ChatGPT wrappers”
- how production AI actually works

Anyone can call an LLM API.
Very few can design reliable AI systems.

𝗖𝗼𝗺𝗺𝗼𝗻 𝗺𝗶𝘀𝘁𝗮𝗸𝗲𝘀 (𝗴𝗼𝗼𝗱 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗯𝗼𝗻𝘂𝘀):

- poor chunking strategy
- weak retrieval → bad answers
- stuffing too much context into prompts
- skipping evaluation and monitoring

Better retrieval > bigger models.

♻️ Repost if someone in your network is working with LLMs
📌 If you want to build RAG systems end-to-end, not just talk about them:

Join MyRealProduct
A 4-week hands-on AI workshop
👉 https://myrealproduct.com/

No fancy music.
No personal story.
No fake drama.

Just Sunday motivation.

🔁 Repost if you want to send this as a reminder to someone.

3 years ago,
I was ashamed to sit in front of a camera.

Not because I didn’t have things to say.
But because I didn’t like how I looked.
How I sounded.
How I felt.

I loved writing.
I loved photos.
I loved videos.

But talking on camera?
No.
“I don’t look good.”
“I’m fat.”
“I’m dark.”
“People on Instagram look better.”
“They speak better.”

Low self-confidence disguised as logic.
And then I realized something uncomfortable.

The internet doesn’t care.
People don’t mind.
They’re way more accepting than we think.

The only person stopping me
was me.

So this year, I made a decision.
If I’m going to do this,
I’m going to do it right.

No hiding.
No waiting.
No “one day”.

I’m relaunching my Instagram.
And I’m committing to consistency.

What’s in it for you?

If you’re an international student or immigrant
-- I’ll share real tips, hacks, and mistakes.
If you’re into AI
-- I’ll share roadmaps, learning paths, and resources.
If you’re curious about real life
-- I’ll share how I build, earn, fail, and grow.

Follow my journey here: https://lnkd.in/gfZeqm4T

No filters.
No pretending.
Just real.

Here’s my promise.
Follow me for a year.
If you don’t get value by the end of 2026,
unfollow me.
I’ll even remind you to do it.

Because this time,
I’m not showing up to look good.
I’m showing up to be honest.

Let's grow together 💛

I moved from 🇮🇳 to 🇺🇸 to 🇬🇧
Everyone thinks this is success.
It wasn’t.

Moving from India to the US was a choice.
I wanted better exposure.
Better work.
Better life.
So I did my Master’s there.

But moving from the US to the UK?
That was not a choice.
Visa tortured me.
I didn’t get H1B.
Not once.
Not twice.
Three times.

I was forced to leave.
Now I’m in the UK on a Skilled Worker visa.
Grateful? Yes.
Peaceful? No.

If you’re an immigrant, you already know this truth:
📌 Visa is the reason you don’t sleep peacefully.
📌 Visa is the reason every life decision feels temporary.
📌 Visa is the invisible boss controlling your future.

And the worst part?
We’re told:
“Just accept it.”
“There are no other options.”
“This is how it is.”
That’s a lie.

Over the last few months, I’ve spoken to immigrants who:
-- Navigated visas we never hear about
-- Built leverage instead of waiting on lotteries
-- Took paths no one told us existed

And I realized something:
Why should these conversations stay private?

So I’m bringing them together.
In 6 days, I’m hosting the Immigrant Summit.
By immigrants.
For immigrants.

Not motivational talks.
Not fake success stories.
Real paths.
Real visas.
Real options.

If you know one immigrant who’s anxious about:
-- H1B
-- Layoffs
-- Visa deadlines
-- “What next?”
🔁 Share this with them.
Ask them to RSVP.

Because no immigrant should feel trapped in silence.
RSVP here: https://lnkd.in/eUr5UBre

Panel members: Sunjana, Saloni, Sumit, Harsh, Vidhi & Veronica
Event sponsor: EB1A Experts

See you at the summit!

I spent years optimizing the wrong thing.

I obsessed over
-- ML algorithms
-- SQL shortcuts
-- Model accuracy

But almost no one taught me 
how decisions actually get made inside companies.

Here’s the uncomfortable truth 👇

Companies don’t ship because your model is 0.2% more accurate.
They ship because experiments prove something works.
That gap hit me hard this year.

I recently picked up Experimentation Playbook 
and realized this is a skill most data people build way too late.

What stood out to me:
 • How experimentation actually works end-to-end in real companies
 • Designing tests that don’t lie to you
 • Analyzing results without fooling stakeholders
 • Real industry case studies (this part is gold)

This is the difference between:
“Here’s a dashboard”
and
“Here’s why we should ship this.”

If you’re early in your data career, 
learn experimentation before you memorize another algorithm.

Because impact isn’t about better charts.
It’s about statistically sound decisions + a story leaders trust.

Huge kudos to Manisha and Banani for putting this together.
This helped me level up how I think about large-scale experimentation.

If you want to move beyond dashboards 
and start influencing decisions, feel free to check it out 👇
https://lnkd.in/gBWYMsts

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The Battle

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Hari Renganathan

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Aditya Sharma's LinkedIn Performance

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