Featured Project: In March 2024 I built and shipped an agentic reasoning model, nine months before OpenAI released their first chain-of-thought reasoning model, o1
Initial Response
Feedback & Iteration
Collaborative Result
An example of how the two agents collaborate to refine responses
"Machine learning is when computers learn from experience instead of following fixed instructions. The computer looks at lots of examples—like thousands of pictures of cats—and finds patterns that help it recognize cats in new pictures it's never seen before. It's similar to how you got better at riding a bike through practice: the computer 'practices' by processing data and adjusting how it makes decisions based on whether it got things right or wrong."
"Good foundation, but you're losing the 10-year-old with abstract concepts like 'processing data' and 'adjusting decisions.' The bike analogy is decent but disconnected from the tech example. Pick one relatable scenario—something from their daily life—and build the entire explanation around it. Keep it concrete and conversational."
"You know how Netflix always seems to know what shows you'll like? That's machine learning! Netflix pays attention to what shows you watch, which ones you finish, and which ones you skip. Over time, it gets better and better at guessing what you'll enjoy. It's like having a friend who knows your taste so well they can always recommend the perfect show."
"Much better! But let's make the learning aspect more explicit. Right now it sounds a bit like magic. Help them understand that the computer is actually getting smarter over time by learning from its mistakes, just like they do."
"You know how Netflix always seems to know what shows you'll like? That's machine learning! Here's how it works: Netflix shows you recommendations, and when you watch something all the way through, it learns 'oh, they liked that!' When you turn something off after 5 minutes, it learns 'oops, they didn't like that one.' The more you use Netflix, the smarter it gets at picking shows for you—just like how you get better at a video game the more you play. The computer is actually learning from watching what you do!"
Certified
AWS Solutions Architect Associate
Engineering with a Product Mindset
Helping teams move from big ideas to real-world impact
Featured Mini-Site
Probe LLM security with NVIDIA Garak
See how the Garak framework stress-tests AI models by hunting for vulnerabilities and jailbreaks.
Visit Garak