Featured Project: In March 2024 I built and shipped a chain-of-thought reasoning model, nine months before OpenAI released their first reasoning model, o1
Initial Response
Feedback & Iteration
Collaborative Result
Automatic Iteration in Action
An example of how the two agents collaborate to refine responses
"Machine learning is a subset of artificial intelligence that involves training algorithms on data to make predictions or decisions without being explicitly programmed for every scenario."
"Too complex for a 10-year-old. Use simple analogies, avoid technical terms like 'algorithms' and 'subset'. Make it relatable to their world - pets, games, or toys."
"Machine learning is like teaching a computer to recognize patterns, the same way you learned to tell the difference between cats and dogs by seeing lots of pictures of both."
"Good improvement! Now add a concrete example they can relate to. Maybe Netflix recommendations or how phones recognize their face?"
"Machine learning is like teaching a computer to be really good at guessing! Just like you learned to recognize your friends by seeing them many times, computers learn by looking at tons of examples. That's how Netflix knows what shows you might like, or how your phone recognizes your face to unlock!"
Certified
AWS Solutions Architect Associate
Engineering with a Product Mindset
Helping teams move from big ideas to real-world impact