Jean Lee @[email protected]
77K subscribers - no pronouns :c
Iām Jeanāan ex-WhatsApp early engineer and Meta manager with
Welcoem to posts!!
in the future - u will be able to do some more stuff here,,,!! like pat catgirl- i mean um yeah... for now u can only see others's posts :c
If youād asked me a couple of years ago if Iād be attending conferences as āmediaā, I wouldāve said no way. š
Fast forward to today, and Iāve just received my first media pass for a major tech conference! Can you believe it?
People ask me all the time, āAm I too late to start X at age Y?ā The answer is nope, you can do it if you put your mind to it.
Iām excited to see what new opportunities lie ahead, but for now, Iām soaking it all in and ready to share this journey with all of you. š
#CareerGrowth #LearnwithMSFT
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Iām heading to an āeventā this to meet some of the top minds shaping the future of tech.
I canāt say much until Mondayābut letās just say it involves AI, agents, and a few names you might recognize.
Can you guess where Iām going?
#ArtificialIntelligence
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I have a surprise guest coming to the channelā
Sheās a Product Leader at Microsoft working on Responsible AI tools for one of the biggest cloud platforms in the world.
What do you want me to ask her?
This is your chance to get your questions answeredāfrom AI careers to ethical challenges in the age of AI and vibe coding.
Drop your questions below and I might include them in the interview!
#ProductManagement #AIEngineer #LearnwithMSFT
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Stripe Sessions 2025 kicked off with the message: Entrepreneurs, not ideas, change the world.
Some standout highlights:
ā¢ Businesses on Stripe grew 7x faster than the S&P 500 in 2024
ā¢ $400B in new payment volumeānearly the same as the entire EUās economic growth last year
ā¢ Stripe now powers 1.3% of global GDP and supports 6% of all US businesses
ā¢ 99.99986% uptime across critical APIs (thatās just 44 seconds of downtime for the whole year)
ā¢ Stripe is shipping over 1,100 production updates per day š¤£š¤£š¤£
Anyone heading to the Stripe conference?
Would love to connect and swap notes!
Let me know if youāre here!
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Are you working this weekend?
Sometimes the grind doesnāt stop, and other times, rest is the most productive choice.
Whatās your plan? š
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OpenAI just released a guide on building AI agents.
Itās a game-changer for anyone diving into AI-powered systems.
Agents are the next frontier in AI.
They donāt just automate tasksāthey independently handle entire workflows, making decisions and solving complex problems for you.
Here are my key takeaways from the guide:
1ļøā£ Agent Foundations
ā³ Models: The LLM powering decision-making and reasoning
ā³ Tools: APIs and external functions that the agent uses to act
ā³ Instructions: Guardrails and guidelines that define the agent's behavior
2ļøā£ When to Build an Agent
ā³ Agents shine in workflows requiring nuanced decision-making and context-sensitive judgment
ā³ Examples: fraud detection or customer service scenarios.
3ļøā£ Selecting the Right Models
ā³ Choose models based on task complexity and cost-efficiency.
ā³ Start with the most capable models and scale down to smaller ones when possible.
4ļøā£ Defining Tools for Your Agent
ā³ Tools extend agent functionality
ā³ Anything from accessing data to taking actions.
ā³ Well-defined tools improve discoverability and system integration.
5ļøā£ Crafting High-Quality Instructions
ā³ Clear instructions help agents execute tasks accurately, reducing errors and ensuring smooth workflow management.
6ļøā£ Orchestration Patterns
ā³ Whether using a single-agent or a multi-agent system, effective orchestration is key.
ā³ Decide when to go with one agent or distribute tasks across multiple agents for improved scalability.
7ļøā£ Guardrails and Safety
ā³ Incorporate safeguards to manage data privacy, safety, and brand integrity.
ā³ Use tools like relevance classifiers, safety filters, and PII protection to keep your agent aligned with ethical standards.
Iāve already covered AI Agents in a few videos on my channel, so be sure to check them out if you havenāt already, like this one: What Are AI Agents? (Tutorial For Beginners) https://youtu.be/F9s_uqxu80M
If youāre interested in a more in-depth exploration of AI Agents, drop a comment below š and drop your questions!
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šØ 3 High-Paying Jobs That AI Canāt Replace!
As AI reshapes the job market, some roles remain irreplaceable. Here are the top 3 high-paying, AI-safe careers for the future:
š» #3: AI Research Scientist
ā³ Average Salary: $130K per year
ā³ These are the brains behind new AI breakthroughsāpushing the boundaries of whatās possible.
š©ŗ #2: AI for Healthcare Specialist
ā³ Average Salary: $132K per year
ā³ They apply AI to real-world medical challenges, improving diagnostics and patient care.
š #1: AI Product Manager
ā³ Average Salary: $194K per year (and climbing!)
ā³ They bridge the gap between tech and users, shaping the future of AI-powered products.
Which role excites you the most? Let me know in the comments! š
P.S. the photos are from the YouTube video, ""9 High-Paying AI Jobs of the Future""
#CareerAdvice #AICareers
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The world has changed.
You donāt need permission anymore.
No gatekeepers to tell you youāre āqualifiedā to learn.No barriers to stop you from building.
The internet has democratized opportunity.
Want to learn AI? Start today.Want to build a product? Do it.Want to switch careers? Go for it.
The tools are available.The knowledge is free.
Stop waiting for permission.Stop waiting for the āperfect moment.āStop letting others define your path.
Just start.
Iāve put together free roadmaps with links to learning resources on my website and YouTube.
AI? ā
Machine Learning? ā
Data Science? ā
Python? ā
Everything you need is there.
Because at the end of the day, the only person holding you backā¦
Is you.
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If youāve been meaning to dive into AI, hereās something worth checking out.
ZTM is offering free access to its AI courses this week!
Theyāve got solid content on everything from ChatGPT to TensorFlow and PyTorchāperfect if you're looking to build real, practical skills.
Sharing this in case it helps someone get started (or back on track):
š Machine Learning Career Path: lnkd.in/gSdkUw-P
š TensorFlow for Deep Learning: lnkd.in/gGtNpY7J
š PyTorch for Deep Learning: lnkd.in/g3nRgYez
š All Courses: lnkd.in/g2bWPf4t
Let me know if you end up taking oneāalways curious to hear what people are learning!
#ArtificialIntelligence#MachineLearning
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Too many engineers get trapped in second-rate careers because they end up in fields they lack passion for.
Beware of pigeonholing yourself too early by choosing domain/depth too early!
Early in my career, I found myself stuck as the go-to person for grunt work.
For various reasons, including a desire to prove myself and difficulty saying no, I remained in this role for several years.
It was a valuable learning experience that taught me what NOT to do.
Getting labeled as the go-to person in a particular area too early (your career could suffer), especially if you're only assigned projects within that narrow scope.
Here's the thing: when you're starting out, you likely don't know your true interests or strengths, and you may not even be aware of all the opportunities available to you. It's unrealistic to expect to become an expert in any field straight out of school or early in your career.
Instead of focusing solely on becoming an expert, concentrate on exploring different fields while consistently delivering high-quality work. People will seek you out not because you're an expert but because you reliably produce quality results.
As you experiment with various projects, you'll gain insights into your strengths and interests, helping you identify areas where you want to develop deeper expertise.
Consider a recent study of successful soccer players: contrary to the conventional wisdom of early specialization, many didn't start playing soccer until their 20s. Instead, they spent their early years exploring a wide range of sports.
For more on this, I check out the book, "Rangeā š amzn.to/3VYsxbU
Likewise, in tech, try to explore different programming languages, tools, and domains before pigeonholing yourself into something you may not even enjoy.
Many people ask about how to get out of X, and into areas they find more interesting, like AI.
If you're navigating a similar journey or unsure how to grow your expertise, check out videos for advice on building a meaningful career in tech.
See you there!
P.S. Hello from Sedona!
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Iām Jeanāan ex-WhatsApp early engineer and Meta manager with over 20 years in tech. I was an early engineer at WhatsApp before its $19B acquisition by Meta, then led engineering teams at Meta, where I experienced firsthand how technology evolves and shapes the world.
Now, Iām on a mission to break down how AI is changing our careers, industries, and the future of work. AI will transform how we work, learn, and live, and many are overwhelmed by what this meansāespecially those without access or context.
My goal is to simplify these concepts and make them accessible to everyoneāwhether youāre starting in tech, pivoting careers, or just curious about AIās impact. Iām here to bring credible, practical insights into the conversation, helping you not just keep up, but take advantage of AI opportunities.
No hype. No jargon. Just real-world insights for navigating AI and whatās next.
ā
www.linkedin.com/in/jeanklee/
ā
www.exaltitude.io