Product @ LinkedIn | Author of “Reimagined: Building Products with Generative AI” | “PM Learning Series” Host | Sharing insights about building products and leading innovative teams

👋 Hello! I’m Shyvee—a forward-thinking product lead who combines creativity, human psychology, and AI to build thriving communities and drive impactful product growth.

Previously a Product Lead at LinkedIn and instructor with LinkedIn Learning, I now focus on driving product growth and adoption while activating professional communities on Microsoft Teams, empowering people to connect, collaborate, and future-proof their careers. With a unique passion for community-building and hands-on AI learning, I’ve created a global, multi-disciplinary community that supports individuals while fueling product adoption and growth along the way. Learn more: https://AICommunityLearningProgram.substack.com/about

Throughout my career, I’ve engaged over 100K followers, reaching 40M+ views. My PM Learning Series has featured esteemed guests, including cofounders and CPOs from leading Silicon Valley startups. As President of the Kellogg Alumni Club in San Francisco, I’m a frequent speaker and have influenced digital strategies at organizations like VMware, Disney, Cisco, YMCA, Toyota, HSBC, Telstra, and other Fortune 1000 companies.

My superpowers lie in strategic thinking, innovative problem-solving, and data-driven storytelling, all grounded in a deep understanding of user psychology and enhanced by AI. I leverage AI for rapid prototyping, automating go-to-market workflows, and building high-impact solutions that resonate with users and drive real business outcomes.

I’m also the coauthor of the Amazon bestseller Reimagined: Building Products with Generative AI, a practical guide for integrating AI into product strategy, featuring over 150 examples and 30 case studies. Learn more: https://a.co/d/btmnJfu

Shyvee Shi

📌 Schedule a consult → breakroombuddha.com/partnership
✉️ partnerships@breakroombuddha.com

My #1 Goal: Disrupting autopilot in education-to-employment systems.

My work lives between the education and employment gap, where people are asked to make life-shaping choices without clear insight into their skills, interests, or how opportunity systems actually work. This gap is where talent is most often misjudged, not because people lack ability, but because systems recognize effort too late.

I build programs, tech products, and measurement frameworks that surface early signals of career intent, enabling regions to reduce talent & job mismatch, strengthen talent pipelines, and plan more responsively. Most recently, I built Scouta, a predictive labor market intelligence tool, that translates career curiosity into actionable regional insight.

I do this work because the future of work isn’t just about jobs, it’s also about, "The Future of Talent," and whether regions learn to see talent early enough to keep it.

~~~
I’ve led large-scale system builds across education, workforce development, and talent pipelines, including:

📌 Architecting and launching a federally backed AI literacy education initiative on track to serve 400,000 learners

📌 Building scalable, AI-enabled career guidance infrastructure through proprietary technology, Scouta and Career CoPilot, now used by classrooms, career counselors, and learners

📌 Designing and leading multi-cohort college and workforce readiness programs for first-generation high school and college students


Across my work, I focus on:

- Helping regions build future-ready talent pipelines
- Translating workforce trends into practical, skills-based readiness
- Designing clear, navigable paths from learning to employment
- Rapidly building and launching programs that work in real-world settings
- Telling clear, evidence-based stories that help communities understand, and invest in talent


💼 Organizations I’ve Worked With: Uber, Warner Bros. Discovery, ACT, CUNY, Google Women Techmakers, and Morning Brew

My Causes:
❤️ Google Women Techmakers Ambassador
❤️ Scholastic Innovation Lab Ambassador

Let’s connect if you’re shaping early-talent pathways, strengthening youth career readiness ecosystems, or rethinking how workforce systems identify and develop talent.
--
In constant pursuit of my Jīva (my living essence) and helping others discover theirs.

Deja White

Tonight was powerful!!

I introduced the girls to engineers during Discovery Lab (Tulsa Children's Museum)'s “Introduce a Girl to an Engineer” Night

 and not just any engineers…

✨ Black Women Engineers!!✨

Happy Black History Month 😁 


But I didn’t stop there, we explored every single discipline of S.T.E.M.

We explored the stories of Black women inventors, scientists, cosmetic chemists, NASA astronauts, mathematicians, and trailblazers across STEM who changed the world.


Here are just a few of the women the girls learned about tonight:

💁🏾‍♀️ Aprille Ericsson
💁🏾‍♀️ Patricia Bath
💁🏾‍♀️ Marie Van Brittan Brown
💁🏾‍♀️ Evelyn Boyd Granville
💁🏾‍♀️ Christine Darden
💁🏾‍♀️ Annie Easley
💁🏾‍♀️ Sarah E. Goode

(Seriously… look them up. 🔎)

And we didn’t just talk about these women, we built, just like they did!

1️⃣I introduced them to Scouta by Breakroom Buddha first to help them explore even more STEM careers that were related to the women they learned about.

THEN...

2️⃣ I exposed them to the “T” in STEM by teaching them how to 'vibe code", and then I showed them their code. And for many, it was their first time ever seeing what real code looks like.

The girls were floored!


I know seeds were planted tonight and I'm so excited to see how the future engineers, inventors, technologists, and innovators will change the world.

~~~~~~~

I’m excited to continue hosting my Scout It & Build It session! If you missed this one tonight, there will be more.


And if you have a class, career day, or upcoming event and want your students to explore vibe coding, AI, and STEM careers in a hands-on way, let’s connect! I’ll bring my session (and the energy), and your students will walk away with something they built themselves.

📌 Déja White 

*All thoughts and programming are my own.

📌 Déja White

Future of Talent Systems Architect | Education-to-Work Readiness | Workforce Intelligence

I'll be in Austin for SXSW EDU! If you'll be there, shoot me a message and let's connect IRL.

Learn more about my mentor session here: https://lnkd.in/g8rqwKRP

YOU ARE EXACTLY WHO YOU THINK YOU ARE.




Sorry for screaming, but this took me a while to understand, and I want you to get it quicker than I did. 🥲


For a long time, I dismissed the things that came naturally to me: 

the blend of creative marketing, communications skills, community engagement, tech, web development, and now AI & “vibe coding.” 

Because all of these things feel so easy to me, I assumed they weren’t that valuable.

Then I crossed paths with a parent at an event I hosted a session at and she said something that stuck with me:

"Just because something is easy for you doesn’t mean it’s insignificant."

She said this after I kind of downplayed what I was teaching kids at my booth.


And I immediately snapped out of it. I learned a while ago that the work that you do, especially if it's for money, is supposed to be easy (to you). 

When it feels easy and natural, it usually means it’s where you’re meant to operate.

This mindset shift changed how I see my work. 

We often undervalue our “zone of genius” because we don’t struggle there. We think real value must feel hard, complex, or draining. But the opposite is often true.

Your zone of genius is the space where:
🧠 You move fast without forcing it
🧠 You connect ideas naturally
🧠 Other people see magic where you see “normal”
🧠 Your energy increases instead of drains


The work you do for money should live in this zone most of the time, not occasionally, not as a side thing, but consistently. 

Whatever you do, make sure you:

📌 Teach in that zone.
📌 Build in that zone.
📌 Create in that zone.
📌 Get paid in that zone.
📌 Stay in that zone.

What feels effortless to you is someone else's weakness. Capitalize on that, always!

📌 Déja White 
*All thoughts are my own

Machine Learning Engineer | Real-Time AI Systems | Deploying Production-Ready ML Systems

How I Built a Real-Time Driver Drowsiness Detection System Using Computer Vision
Body:
Driver fatigue is one of the major causes of road accidents.
So I built a real-time drowsiness detection system using computer vision and deep learning.
Here’s how it works:
• Detects face and eyes using OpenCV
• Monitors eye state (open/closed) frame-by-frame
• Triggers an alert when prolonged closure is detected
• Runs in real-time with live webcam inference

Tech Stack:
 PyTorch | OpenCV | YOLO | Real-Time Video Processing

Key Challenge:
Handling lighting variation and false positives during head movement.
This project strengthened my experience in building AI systems that work beyond just notebooks — real-time, deployable solutions.

I’m currently open to ML / Computer Vision roles.

taplio

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Shyvee Shi

Deja White

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The Battle

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Deja White

Followers

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Engagements

Likes

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);}Deja White's LinkedIn Performance

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