Result-Oriented Software Engineer with over a year of full time experience and more as an intern working on a diverse set of projects. Skilled in various programming languages while handling systems that scale to millions of users. Committed to a culture of collaboration and excellence, with a dedication to staying up-to-date on the latest development standards and best practices. Aiming to contribute specialized software engineering expertise to a dynamic organization to enable high levels of productivity and customer satisfaction.

Connect with me - https://topmate.io/jugaldb

I applied to over 1000 jobs last year, and all I got were rejections, until I changed this one thing.


You see, clearing interviews is not just about mass applying to every role you find, you must have heard people say it a 100 times that you need to cater your resume to the exact role you are applying for, not just make it "ATS friendly". 

ATS is just a tool which a lot of companies have already denied that they use it to select candidates. Having worked at multiple companies that use ATS systems, it just means to track candidates, extract their information and nothing more. 

But catering your resume to each and every role takes up a lot of time, time that you potentially do not have while juggling a lot of different things in university or at work. 

I created this n8n workflow a few days ago that will help you automate this entire process end to end, and make your resume the best that the recruiter has ever seen. 

1️⃣ It runs every morning at 5 AM, so you do not need to worry anymore.
2️⃣ Extracts information from your resume
3️⃣ Finds role basis on the resume and filters you enter that were posted in the last 24 hours
4️⃣ Adds everything from the link, a cover letter and also exact improvements that you can make on your resume
5️⃣ Puts everything onto a Google sheet and sends you an e-mail once it is done.


If I had something like this when I was applying I would have saved soo much time and energy by not manually going through each and every job description and catering my resume to that role.


If you want this one, just like this post and comment "n8n", and I will share it with you in your DMs over the coming week.

#resume #personalise #n8n #workflow

Jugal Bhatt

AI & Tech Content Creator | Hackathon Judge | Speaker | Software Engineer @ Amazon | UIUC CS Grad 2025

I got 47 recruiters reaching out for jobs in a single month.

The point here is not to boast but to share my strategy, so please read with that state of mind.

So I wanted to see if LinkedIn is actually helping. I kept the same resume, same everything, no boost posts, nothing. 

What I did - 

Profile reset: Rewrote headline to signal role → skills → outcome. 

Tight “About” using: Current focus → What I’m building → Recent wins → What I’m seeking. 

Turned on Creator Mode + Open to Work.

Posting cadence: 3–4 posts/week across 4 pillars—learning notes, project breakdowns, industry insight, career/networking. 

Each post = 1 concrete insight + 1 question.

Engagement loop: Targeted comments on hiring updates & senior engineer threads within 2–4 hours. Boolean searches for recruiters + alumni filters

Discoverability: Cleaned keywords, custom URL, notifications on. Mini case studies with measurable outcomes.

Results (what happened):
•⁠ ⁠47 recruiter DMs
•⁠ ⁠+340% profile views
•⁠ ⁠3 interviews at companies I actually wanted

Nothing was forced or non-genuine. 

I will share my exact strategy, everything step-by-step, templates, prompts, search strings, timing, and examples.

Edit: over 800 comments, LinkedIn won’t allow me to DM all of you, here is the link to the FREE guide - https://lnkd.in/gMFtmQab

Just comment “LinkedIn”, and it will be in your DMs. 

Make sure to send a connection request with note being added to that request or else I won't be able to send.

------

👉 For more such information and tips, subscribe to my newsletter: https://lnkd.in/d9-8NGZQ

#linkedin #strategy

I've been in the US for a while now.

But last week in San Francisco made me miss home a little less.

Got to watch the Tech Roast Show live. Met Marina Mogilko and Deedy Das in person, people whose content I've been consuming for years.

But honestly, the best part was just being in a room full of people who are building, creating, figuring things out, and actually caring about each other's journeys.

That kind of community is rare. Really glad I found mine.

Venkata Naga Sai Kumar Bysani,  Pritesh Jagani, Vishakha Sadhwani, Sohan Sethi, Varun Negandhi, Shreya Mehta 🚀, Soundarya Balasubramani, Jahnavi Shah, Ruchi Bhatia, Anushk S., Muskan Agarwal — grateful for every conversation, and every moment with you all 🤝

This one's going in the core memories.

#SF #meetup #community #creators

I failed my Amazon interview 🚫



the first time I gave it back in 2023 in India.

Since then, I have cleared multiple interviews from FAANG companies Including Google , Meta , and Amazon  

A lot of you reached out to me asking how I did it and what resources I used. 

This is an exhaustive list of all the resources that I used when I was preparing for all these interviews and 

how I turned it around from failing my Amazon interview to eventually joining it 

♻️ Share & repost this so that people in your network who are also preparing for interviews can benefit from this 

❤️ All the best! I am rooting for you! If I can do it, so can you! 

#amazon #google #meta #interviews

undefined undefined

Postman Student Expert

Best Overall Hack

Object-Oriented Data Structures in C++

Data Structures

Differential Equations for Engineers

Introduction to Household Water Treatment and Safe Storage

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

• Contributed to the development of the brand referral bonus website, enhancing user experience and engagement.  
• Collaborated with cross-functional teams on Amazon Attribution to optimize marketing strategies and performance.  
• Actively managed on-call responsibilities, effectively mitigating impacts from the recent AWS global outage.

Software Engineer

- Built the MCP gateway at LiteLLM enabling customers to use MCPs with their current setup

Founding Software Engineer

Graduate Research And Teaching Assistant

Graduate Teaching Assistant

- Working as an Intern in the Recording Integration Service team(RIS) which deals with integrating different third-party services with different internal services via adapters.
- Streamlined and utilized Amazon SDKs in Java to update the Amazon media adapter used by 17 clients
- Enabled monitoring of systems using Anomaly monitoring and detection algorithms to maintain a
better and holistic view of the systems.
- Worked on updating the Cisco Java-SIP adapter which is used by 60% of the clients for their contact
center recordings and metadata. The adapter uses SIP Proxy server at it’s core

Software Engineer Intern

- Owner of the service to create the TPAP(Third Party Application Providers) in partnership with Yes Bank, This service enables users to connect their bank accounts and pay using UPI, and the entire UPI infrastructure that we know and love. 
- The entire TPAP service was written in Golang using the native net http library. It included connecting Uber task queues, consuming the NPCI upi infra and setting up the entire service.
- Worked on user retention features like FamPlay and Mission to increase user retention on the
platform. This feature increased adoption by 20% for recharge transactions and helped acquire 2x more partners
- Worked on streamlining metrics to Grafana for production applications and services
- Created the ETL data pipeline to transfer data for analytics by shifting MongoDB data to Redshift.

Working under Dr. B.K. Tripathy as a research fellow/intern

- writing survey paper for ‘Adoption of AI based Blockchain’ 
- Contributing a chapter - ‘Deep learning in text analysis’ for a springer text

Research Intern

Chairperson

Senior Core Committee Member

Core-Committee member

• Worked in porting the backend legacy PHP code to Golang, This included making the APIs and the
services way faster than what it was.

• Worked on making a new feature that would ensure that the data of the 10 Million users is properly handled and all the regulations are followed, so as to make meaningful analysis

• Led the Backend implementation of the Trademark Perfect platform, providing online services to
consumers that require intellectual property protection.
• Developed the Trademarkia Recruitment Portal. The platform includes an integrated development
environment with an online judging system, used to test the candidate’s coding skills.
• Worked primarily in the Backend team. Technologies used include NodeJs with Typescript, SQL Toolkit,
GoLang, AWS, Google Cloud, Stripe etc.

Notifvia is powerful chatbot builder for facebook which provides the platform as a SaaS, as a GUI making it easy for the user to make messenger bots.

Software Developer Intern

Worked on a project alongside Facebook and Ministry of Tribal Affairs India.

Software Development lntern

Amazon

Google

Amazon interview resources 

2019: Failed IIT

2020: Joined tier 2 university

2021: Got rejected by big tech 

2022: Graduated from undergrad, and started working at a job that had unthinkable hours

2024: Moved to the U.S. for my master's was also the year when I applied to over a 1000 roles but faced all rejections.

Mid 2025: Joined a super early‑stage startup in San Francisco and was a founding engineer, and experienced the SF life I had always dreamed of. 

2025: Finally accomplished my dream by joining Amazon as a full‑time software engineer. 

Ohhh 😮‍💨, these two years in the US were something, one of a kind, and somewhere along the way, I started creating content, researching obsessively, and sharing what I learned to help students navigate their own journey. 

My journey reminds me that momentum doesn’t start massively, but it starts in a way you don’t even see or feel, but eventually it compounds in a way that you’ll never believe.

#life #motivation

2019: Failed IIT

2020: Joined tier 2 university

2021: Got rejected by big tech 

2022: Graduated from undergrad, and started working at a job that had unthinkable hours

2024: Moved to the U.S. for my master's was also the year when I applied to over a 1000 roles but faced all rejections.

Mid 2025: Joined a super early‑stage startup in San Francisco and was a founding engineer, and experienced the SF life I had always dreamed of. 

2025: Finally accomplished my dream by joining Amazon as a full‑time software engineer. 

Ohhh 😮‍💨, these two years in the US were something, one of a kind, and somewhere along the way, I started creating content, researching obsessively, and sharing what I learned to help students navigate their own journey. 

My journey reminds me that momentum doesn’t start massively, but it starts in a way you don’t even see or feel, but eventually it compounds in a way that you’ll never believe.

hashtag#life hashtag#motivation


I spent 8 weeks sending out 127 applications on LinkedIn and didn’t get a single callback.

Just because thousands of candidates apply for the same “recycled” roles.

That’s when I switched the method for applying.

I discovered a Google search technique that finds fresh jobs posted less than 24 hours ago with less than 20 applicants.

In just 30 minutes, I found more high-quality openings than hours on LinkedIn.

If you want the exact Google search formula, comment “google” and I’ll DM you my guide.

Edit: replied to everyone who reposted the post

#jobsearch #hire #google

I've been getting a lot of DMs about internships lately.

Everyone wants Big Tech internships, and I get it, Google, Amazon and Meta are great places to work at.

But, in real time, if you don't have much experience, you're competing against 1000s of other candidates for those same spots. 

If you are at your university and looking for internships, you can apply to YC companies.

📍 Fast hiring (we're talking weeks, not the 6-month Big Tech marathon)
📍 They actually read your application instead of filtering by keywords - because fewer applications 

Big Tech companies are phenomenal!

But if you've been stuck in the application cycle for months, maybe it's time to explore a different path.

If you want the list of YC startups actively hiring interns right now.

Comment "INTERNSHIP", and I'll send it over.

#career #intership #YC

Top 25 AI Engineering concepts explained in one line each 🧵

Save this. You'll thank yourself later.

𝟭. LLM -->A model that reads the internet and learned to talk back.
𝟮. Prompt Engineering --> How you talk to AI is how well it performs.
𝟯. RAG --> Give your AI a search engine before it answers.
𝟰. Fine-Tuning --> Teaching a general AI to become a specialist.
𝟱. Embeddings --> Turning words into numbers so AI understands meaning.
𝟲. Vector Database --> A search engine built for AI memory.
𝟳. Context Window --> How much the AI can hold in its head at once.
𝟴. Tokens --> The currency AI reads and writes in (and charges you for).
𝟵. Temperature --> The dial between “precise” and “creative.”
𝟭𝟬. AI Agent --> An LLM that acts, not just answers.
𝟭𝟭. Tool Use --> Giving your AI hands to interact with the world.
𝟭𝟮. Chain of Thought --> Making AI show its work before answering.
𝟭𝟯. System Prompt --> The instructions your AI follows before you say a word.
𝟭𝟰. Hallucination --> When AI is confidently, completely wrong.
𝟭𝟱. Grounding --> Tying AI outputs to real facts so it stops making things up.
𝟭𝟲. Multi-modal AI --> AI that sees, hears, and reads not just text.
𝟭𝟳. Inference --> Running a trained model to get an answer.
𝟭𝟴. Latency vs. Throughput --> Speed for one user vs. scale for all users.
𝟭𝟵. LangChain / LlamaIndex --> The plumbing frameworks so you can build the product.
𝟮𝟬. MCP --> A universal plug for connecting AI to any tool or data source.
𝟮𝟭. Guardrails -->The rules that stop your AI from going off the rails.
𝟮𝟮. Evals --> How you prove your AI actually works.
𝟮𝟯. Agentic Loops --> AI that plans, acts, and repeats until the job is done.
𝟮𝟰. Distillation --> Shrinking a giant model into a fast, cheap one.
𝟮𝟱. Inference Cost Optimization --> Making AI affordable enough to actually ship.

How many of these did you already know?

AI has evolved, but it still ends up hallucinating a lot. My creative is the perfect example. Look for long enough, and you will find the mistakes! haha

Drop it in the comments 👇

Follow for more AI engineering content.

#AI

I didn’t get into Amazon in my first attempt. But changed my strategy in the following ways.

Here are 4 interview tips that no one talks about but I believe our very big reasons behind making or breaking your interview.

[1] Think out loud - When you hit a wall on coding problems, don't go silent. Keep talking through your approach. Interviewers will guide you when you're stuck. They're not there to fail you.

[2] Explain your code - Walk through why you picked that data structure, what the time complexity is, why this approach works. They need to understand your technical thinking.

[3] STAR everything - Behavioral rounds are the ones where a lot of people who aced tech rounds fail as well. Have a few use cases and incidents ready where you did something X and achieved Y results.

[4] Ask clarifying questions - Don't assume anything. Ask about input size, expected output format, constraints. Get the requirements clear before you start coding.

Let me know what other questions you want me to answer regarding my application interview. I'd be happy to help.

#amazon #interviews #job

I’ll be attending The Extraordinary Gala hosted by Manifest Law  in San Francisco on March 5th.

As someone who’s going through the H-1B journey and has been thinking a lot about the O-1 / extraordinary ability path, this one feels especially meaningful.

It’s an invite-only, red-carpet night bringing together 200 of America’s most accomplished immigrants: founders, technologists, investors, and creators.

There is everything from:

- Fireside chat with former USCIS director, so you can clarify all your doubts, 

- Panelists discussing their journey in the U.S. and how they have been able to lead the U.S. tech ecosystem

- The best part is that Tech Roast Show  is also going to be present there. 


Also your favourite creators are going to be there including Venkata Naga Sai Kumar Bysani, Pritesh Jagani, Soundarya Balasubramani, Muskan Agarwal  to name a few. 

If you are in SF between 5th and 12th March, shoot me a DM, we can grab a coffee. I would love to meet you all


Link to register: https://lnkd.in/gpUesuHn


#sf #extraordinaryability #gala

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In your 20s, the people you surround yourself with will shape your entire trajectory.

Two years ago, I was working in India, planning for my master's in the US, and had no connections but just a dream.

Fast forward to today: I'm at Amazon, had a chance to work and live in San Francisco, and surrounded by some of the sharpest builders and creators I've ever met.

But to be honest, it wasn't the move to the US that changed my life. It was choosing to be around people who made me uncomfortable all along the way.

When I first got to the US, I was looking for a place that felt right and soon after, I realized it wasn't a place but the right people.

Then I moved to San Francisco after my graduation, and everything clicked and happened to fall in place.

Here are 5 things being around the right people taught me:

📍 They expand what you think is possible – I thought landing one internship was the goal. Then I met people shipping startups at 22, raising funding at 23. Suddenly, my goals felt too small.

📍 They don't let you settle – When everyone around you is building, learning, and improving, staying stagnant isn't an option. The bar gets raised daily.

📍 They introduce you to opportunities – Cold emails got me interviews. But warm intros from the right people got me offers. Your circle opens doors you didn't even know existed.

📍 They hold you accountable – It's easy to skip the gym alone. It's harder when your friends are hitting PRs every week. The same applies to your career.

📍 They become your biggest supporters – The people I've met here didn't just connect me to jobs, they believed in me before I believed in myself.

If you're in your 20s and feel stuck, ask yourself: Who am I spending my time with?

Because the fastest way to level up isn't working harder, it's surrounding yourself with people already where you want to be.

#life #connections

Two months into my job hunt, I was exhausted.

I’d filled out what felt like the same form 27 different times, copy-pasted the same answers, and still heard nothing back.

One night, while rage-Googling “how to make job applications suck less,” I found something weird:

An AI tool that could apply to jobs for me.

Fast forward a few weeks, and I was applying to 5x more jobs with 10x less effort and actually getting callbacks.

Here’s the full playbook of tools, templates, and strategies I wish I knew earlier.

1. Apply 5x Faster with AI Autopilot

If you’re still manually filling out every application, you’re wasting precious time.
Here’s how to automate it like a pro:

🔧 Top Tools to Try

Simplify.jobs - One-click job applications with autofill

LazyApply - Bulk apply to 100+ jobs at once

LoopCV - Matches your resume to jobs & auto-applies

JobHire.ai - Uses AI to tailor your application to the job

How I Used Them

Uploaded my resume to Simplify and set preferences (remote, location, industry)

Let LoopCV do the heavy lifting — it sent ~20 applications a day while I prepped for interviews

Used JobHire.ai to tweak my applications based on keywords

I went from applying to 5 jobs a week → 50+ without losing my mind.

2. Predict the Interview Before It Happens

Most candidates practice the wrong questions.
Smart ones use AI to figure out what questions are actually asked and prep like a sniper.

🛠 Best Tools to Use

AlgoRush- Role-specific interview questions

LeetCode (Interview Tagged) - Real questions from real companies
Interview Warmup (by Google) - AI feedback on your answers

ChatGPT - Generate custom questions & feedback

What Worked for Me

Typed: “Give me 6 behavioral questions for a Product Manager role at Adobe” into ChatGPT

Practiced my answers using Interview Warmup (recorded voice + AI critique)

Pulled questions from LeetCode with the company filter: Amazon, Meta, Stripe
I walked into interviews already knowing what 80% of the questions were going to be.

I have written the rest of it here - https://lnkd.in/dVyBaTFt

#job #career

You shouldn’t chase FAANG blindly after you graduate.


While they are one of the highest paying, with a solid work-life balance. But,

If you ask me, joining a well-funded, fast-moving startup might just be the smarter move, both financially and professionally.

Let me explain.

When I worked at Fam in India, my compensation was at par with my friends at FAANG.

And what truly stood out was the ownership I had.

I was surrounded with an incredible team of engineers, and we virtually built the entire TPAP-UPI stack.

That kind of responsibility and hands-on learning experience I had.

Sure, some teams at FAANG do offer this, but it's rare.

And that's why I feel that in today’s landscape, prioritizing growth while earning well is a far better trade-off than chasing a logo.

#faang #startup

pov - trying to debug a vibe coded app. lol

Google just introduced Nano Banana 2!!! 

and it's genuinely mind-blowing. NGL

It's their best image model yet, combining Gemini's deep world understanding with real-time information and images from web search, meaning it can actually reflect real-world conditions in stunning, high-fidelity detail.

It's pulling live weather data and real-world imagery from the web to generate scenes that actually look like the world outside your window not a stylized version of it. Literally. Their "Window Seat" demo lets you generate a view from any window, anywhere on the planet, in 2K/4K. Go try it.

You can finally turn your YouTube videos into infographics. Just drop in your brand guidelines and let it do its job! the results are insane.

Every day I wake up, there is a new launch, but it's fun to explore something new every day!

Check it out!

#google #nanobanana

4 daily rituals that changed my life.

When I hit my 20s, I noticed a pattern: the better I became, the more doors opened.

Closer friendships, 
Better grades, 
Stronger confidence in interviews. 

That’s when I created my multi-pronged approach:

📍Mind (30 min/day): Treat every skill as learnable, read, practice, and master.

📍Body (60 min/day): Physical health is the bedrock of productivity and mood.

📍 Spirit (15 min/day): Quiet reflection or meditation to reset and stay grounded.

📍Accountability (ongoing): Track progress in a journal or share wins with a friend so you stay honest.

No gimmicks, just daily discipline. 

It’s transformed my routine from juggling coursework to landing my first internship during my masters. 

Save this and try it for a week, and let me know your experience in the comments.

#life #productivity #timemanagement

Breaking into Amazon can feel intimidating.

It’s the world’s largest employer, almost 7× bigger than the company at number two.

And as the New Year approaches, Amazon is hiring aggressively across roles and regions: US, India, UK, everywhere.

Yet most candidates struggle with the same thing.

They apply with solid experience, decent skills, and still don’t hear back.
Not because they’re unqualified - but because their resume doesn’t survive the first screen.

I didn’t realize this until I was on the other side.

Working at Amazon and being part of the hiring process firsthand, I saw a clear pattern: There are precise signals that resumes need to show to get shortlisted.

Once I understood what those signals were, everything changed.

Here’s the breakdown:

1️⃣ Amazon doesn’t read resumes like most companies
They scan for ownership, impact, and decision-making - not passive responsibilities.

2️⃣ Your resume needs to map to Amazon’s Leadership Principles
If the principles don’t show up implicitly in your bullets, you won’t pass the screen.

3️⃣ Interview prep is as structured as the resume screen
Amazon interviews are predictable if you know what they’re optimizing for.

I’ve put together a detailed guide that includes:
* A resume template that actually works for Amazon,
* How to rewrite your bullets the Amazon way
* Amazon’s personalized interview guidelines

A clear framework to crack any Amazon interview

If you're interested, comment “Amazon,” and I’ll send the full guide over the coming week.

#amazon #job #career

What if I tell you that AI could actually organize your life better than you ever could?

And it can.

Yes, I said that.

Well, even I used to be a procrastinator of things until I realized I was concerned about how I can use AI efficiently to make my life easier and not busier. 

As a person working at Amazon, juggling work, content creation, and life in general, every hour has to count.

And to make that happen, discovering the right AI tools which boost productivity while saving me time was more than essential for me.

That’s why finding the right AI tools that boost daily productivity, save time, and help me with organization has been game-changing for me.

The tools that I frequently used and still do are:

1. NotebookLM (AI Assistant)

This acts like a thought partner when I’m outlining research, writing sharp emails, or just trying to structure messy ideas into something useful.

2. Notion (Second Brain)

It's my hub for literally everything from notes, job app trackers, weekly goals, to content ideas. It helps me stay clear, consistent, and a little less chaotic.

They help me feel in control.

If you’ve been trying to balance it all and are curious about where to start with AI in daily life, you can give these a go.

Let me know in the comments if you also use any specific tools that make your day more productive.

#tools #productivity

The US government just declared war with Anthropic after fighting against their terms in a deal and the same terms and the same deal was agreed for OpenAI?

Short recap of what happened

In July 2025, Anthropic signed a $200 million deal with the Department of Defense. The agreement seemed straightforward — until the Pentagon demanded that Claude, Anthropic's AI, be available for *all* military purposes. No restrictions. No ethical guardrails.

Anthropic and its CEO Dario Amodei just drew a red line

1. No autonomous weapons without human oversight and 2. No mass surveillance of American citizens. His reasoning was simple: today's AI is not reliable enough to make life-and-death decisions on its own.

The government's response? Strip Anthropic of all federal contracts. Label them a *supply chain risk*  a term typically reserved for hostile foreign nations.

But OpenAI was given the same exact deal that Anthropic was rejected?

- Or is Sam Altman's tweet misleading? 
- Are we supposed to read between the lines? 
- Is it just some mix up of lawyered up jargon? 
- Or will OpenAI's models not hallucinate when deciding on autonomous missiles? 

Let that sink in.

A private company was effectively penalized for refusing to remove its own safety standards when the same "exact" contract was signed by another.

Now here's what I think the business and tech world needs to start taking seriously, this isn't just a story about one company and one contract. This is a preview of the conversation every industry is about to have.

Who sets the ethical boundaries for AI? 

The companies building it? 
The governments funding it? 
Or the people living inside the systems it shapes?

Because right now, the answer is unclear. And that ambiguity is dangerous.

As leaders, builders, and professionals, we don't get to stay neutral on this one.

How much government control over AI is acceptable before it stops being governance and starts being something else entirely?


Picture Credits: deedy das on X


#AI #Anthropic #OpenAI #DeptOfWar

I am seeing so many creators post this image. 

Can somebody please tell me what the source of this data is? 

I was very intrigued by it and wanted to read more, but all the data that backed this info was "trust me bro" lol

#ai

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