Sr. Product Research Engineer at NVIDIA and co-author of The AI Engineering Bootcamp (Wiley, 2026). Previously co-founded AI Makerspace, where I taught thousands of engineers to build with LLMs. Passionate about large language models, agents, and evals — and about making AI accessible to every developer.
Drive developer-focused research and advocacy for NVIDIA’s generative AI stack, with a focus on the Nemotron family of open models. Author NVIDIA Technical Blog articles on LLMs, agents, and evaluation; build reference implementations and demos; and help shape products through hands-on research with the latest models.
Co-founded an online AI engineering education platform and community. Led curriculum and product strategy, and instructed engineers in the AI Engineering Bootcamp — covering LLMOps, agents, evals, and shipping real-world AI applications. The curriculum became The AI Engineering Bootcamp (Wiley, 2026).
Developed and taught machine learning course material for the Machine Learning Engineer program — full-stack ML skills including data pipelines, modeling, and MLOps. Mentored students through capstone projects.
Led development of core ML features for an AI conversation coaching platform — real-time NLP models delivering personalized feedback, end-to-end ML pipelines, and the company’s initial MLOps practices.
Applied data analytics and ML to an educational technology platform. Built predictive models to personalize learning and contributed to R&D including a wake-word detection system (Turtle.AI).
FourthBrain
Trent University
Seneca College
The fastest way to reach me is email — or find me wherever the AI conversation is happening.