AI Systems Builder · Full-Stack Engineer · Toronto, Canada
I am a CS student at York University focused on designing and shipping AI-native products that combine agent orchestration, reliable backend services, and strong product UX.
I care most about long-term engineering directions:
- Direction 1 — Agentic Product Systems: building practical multi-agent workflows for real user tasks.
- Direction 2 — Applied LLM Infrastructure: RAG pipelines, retrieval quality, and robust inference workflows.
- Direction 3 — AI + Full-Stack Delivery: turning models into production-ready web applications with measurable outcomes.
- Direction 4 — Developer Knowledge Platforms: documenting reproducible patterns for AI engineering and software delivery.
Contributor at OpenClaw, and actively open to collaboration on product-focused AI projects.
| Focus Direction | What I'm Building | Representative Output |
|---|---|---|
| Agentic enterprise workflow | Structured claim intelligence and evidence-driven review | SREDSimplify |
| AI engineering knowledge system | Production-style docs for CS/AI/backend/frontend/DevOps | Ai DIY Docs |
| Interactive digital twin | Multi-agent portfolio with real-time Q&A and retrieval | yiw.me |
| Agentic consumer assistants | Personalized planning for fitness and nutrition contexts | FitLogic, SmartDiet Copilot |
SR&ED claim console with evidence ingestion, structured pre-checks, and audit-friendly T661 drafting workflow for founders and reviewers.
|
Engineering knowledge base covering CS core, AI agents, backend/frontend, and DevOps content, built as a production-ready documentation platform.
|
Multi-agent interactive portfolio with Google ADK orchestration, RAG retrieval, and streaming chat to answer resume/project questions in real time.
|
AI fitness coaching experience focused on adaptive training + nutrition logic, progress analytics, and coach-assisted personalization.
|
Agentic AI dietitian that combines receipt/fridge/meal perception with goal-aware planning to reduce waste and deliver actionable meal decisions.
|
Base Pay bill-splitting app for group settlements with USDC, real-time status tracking, share links/QR flows, and optional NFT receipts.
|
Building reliable AI products through clear engineering direction.