Status: Life-maxxing.
Currently fine-tuning my brain’s foundational model on a chaotic dataset of Philosophy, Health, Sports, Code, Finance, and Music. Just trying to minimize my loss function in real life.
Software Engineer Intern @ Google Google Workspace AI Safety Team
- Making sure the AI doesn't go rogue. The LeetCode grind actually paid off :)
Applied AI Researcher Intern @ PointClickCare Advanced Tech Team
- Intern era: absorbing knowledge directly from PhD researchers.
Applied AI Engineer/Researcher @ Sheridan Centre for Applied AI Projects I actually shipped to production:
- 🎖️ Veteran Affairs Canada: Agentic mental-health chatbot (AI helping veterans carry the load).
- 👶 Korah: ML that predicts NICU beds (saving babies > anything).
- ⚙️ VEE Technologies: C++ fabric sensor sorcery (low-level programming, yay).
- 📚 Oakville Public Library: LangChain RAG chatbot (overengineered with optimized chunking + concurrent request handling because why not).
- 🏗️ Building production-grade AI systems that don’t immediately fall apart when users do something weird.
- 📄 Reading research papers and translating the complex math into code that works.
- ⚔️ DSA (Getting humbled by LeetCode Hards on a daily basis).
- 🔓 Open Source (Making PRs when I find something genuinely interesting).
- 📐 System Design (Drawing boxes and arrows until they finally make sense).
Let’s build something cool — or at least something that works 😉