Full-stack AI engineer. I build systems that detect patterns, automate decisions, and ship as real products. Not just demos.
Based in Toronto · Portfolio
Implementations of core ML algorithms built from first principles — no sklearn shortcuts.
Linear Regression · KNN · SVM · Classification Diagnostics
Python NumPy
7 hackathons across online and in-person events.
| Hackathon | Location | Date |
|---|---|---|
| Slack Agent Builder Challenge | Online | 2026 |
| UiPath AgentHack | Online | 2026 |
| H0: Hack the Zero Stack (Vercel + AWS) | Online | 2026 |
| EurekaHacks 2026 | Waterloo, Canada | May 2026 |
| GenAI Genesis 2026 | Toronto, Canada | Mar 2026 |
| DeltaHacks 12 | Hamilton, Canada | Jan 2026 |
| Hack The Ridge 2025 | Oakville, Canada | Dec 2025 |
- Exploring diffusion models, transformer architectures, and reinforcement learning
- Reading: Deep Learning — Goodfellow et al. · Designing Data-Intensive Applications — Kleppmann
- Building toward production AI systems with real users and real deployment
- Mentoring early-stage developers in AI/ML fundamentals
LinkedIn · Devpost · Portfolio
Open to AI/ML collaborations, hackathon teams, and problems worth building on.



