I’m a three-time founder, YC W22 alum, former Machine Learning Engineer. My first company, helped blind individuals “hear” their surroundings through 3D audio using mounted sensors. It beat MIT and 843 global teams to win the Ericsson Innovation Awards. After that, I co-founded Trueplace (YC W22), a proptech startup that worked with one of Canada’s largest banks. We helped Canadians buy their first home by providing a portion of their down payment in exchange for a share of future value. At Amazon, I worked on the AGI enterprise fine-tuning team, built custom ML models for large-scale recommendation systems, and was part of the team that delivered 4-hour Amazon delivery in the US and Japan. At DoorDash, I drove significant cost savings by automating refund decisioning between users and merchants. Now, I’m channeling everything I’ve learned into Kanu AI with the mission to make building and deploying software as easy as asking for it.

I've contributed to GPT-4, Gemini, and Grok. I've built AI systems that sold for $50M+ and secured 200k+ APIs at AWS. Now I'm building something bigger. Throughout my career, I've worn many hats. At Deloitte Digital, I built Canada's first ML-enabled claims assistant that sold to major insurance providers for $50M+. I then pitched and led a team of 8 building an AI highlights reel engine that sold to Toronto's top e-sports team. These were just two of eight projects I shipped there. At AWS, I owned the API Security program, ensuring 200k+ APIs were secure on the cloud and presenting directly to L10 leadership including Peter Desantis and Eric Brandwine. I then joined AWS Global Sales as an AI/ML Specialist, managing a $20M+ portfolio and advising cloud customers across the US. At Scale AI, I contributed to GPT-4's personality, Gemini's security, and Grok's knowledge base while red-teaming SOTA models. Now I'm using years of enterprise software experience to build Kanu AI, an agent that changes the way organizations build software.