AI / Full-Stack Engineer · Computer Science @ York University · Toronto, ON 🇨🇦

I ship production agentic systems — LLM pipelines, RAG platforms, and real products that measure their own impact.
Currently building SixRise, an AI-search visibility engine for Shopify merchants.

Open to New-Grad / AI Engineer roles — 2026.

AI answer engines (ChatGPT, Perplexity, Gemini) are becoming a primary product-discovery channel — but merchants are blind to whether these assistants recommend them or a competitor, and why. SixRise is a live Shopify embedded app that diagnoses the gap, ships grounded fixes, and proves the uplift.

Founding engineer · solo build · live & deployed in production.

• 🧠 Designed a graph-shaped async agent pipeline from scratch — eight typed nodes (interrogate → engine-run → extract → share-of-model → audit → optimize → publish → verify) in Python / FastAPI / Arq. No orchestration framework — hand-composed for full control over state, retries, and failure isolation.
• 🔒 Built a safe write-back system with a hard grounding invariant — the optimizer never fabricates a product attribute, every fix carries a before/after diff + source citation, and publishing goes through a human approval gate before touching a live store.
• 📐 Engineered a measurement-sacred verifier — the publish timestamp is the immutable anchor for every before/after comparison and is never mutated by the measurement layer, keeping share-of-model uplift honest and reproducible.
• 🧩 Shipped the Shopify-facing shell in TypeScript / React Router 7 — OAuth, session storage, GDPR compliance webhooks, embedded Polaris UI — talking to the Python brain over an internal authenticated API.
• ☁️ Deployed to production on Northflank + Neon (Postgres + pgvector) + Upstash Redis; live engine access via Perplexity Sonar and OpenAI structured outputs.

Python FastAPI Arq TypeScript React Router 7 AI Agents LLM PostgreSQL pgvector Redis Shopify OAuth

Understand any codebase in minutes. Paste a GitHub URL and chat with the repo via RAG — with real file/line citations and a dependency-graph visualization.

• Architected a full-stack RAG system indexing GitHub repos via Tree-sitter AST parsing (function/class-level chunking) across Python, JS & TS — cited, hallucination-resistant Q&A over codebases up to 10,000 files
• Designed a provider-swappable AI layer (Embedder / LLMClient interfaces) — local open-source models in dev, OpenAI in prod, via config alone
• Built a production cost-control system — Cloudflare Turnstile + atomic Redis dual rate limiting — powering a public zero-signup demo with bounded API spend
• Deployed a 5-service backend (FastAPI, Celery, ChromaDB, PostgreSQL, Redis) on Railway with SSE progress streaming + a Next.js frontend, covered by 230+ tests

FastAPI Celery RAG Tree-sitter ChromaDB PostgreSQL Redis Next.js TypeScript Docker

AI/ML Intern — Automators Lab · May 2025 – Sep 2025

• Built multi-agent AI systems with LangGraph & LangChain, integrating GPT, Claude, Gemini & LLaMA
• Developed 10+ custom Model Context Protocol (MCP) servers connecting agents to APIs, databases & business apps
• Engineered RAG pipelines for context-aware assistants and document-intelligence workflows

• Shipping SixRise end-to-end as sole founding engineer
• CS Hub @ York — full-stack & cloud workshops, hackathons, peer collaboration

Build things that matter. Measure the impact. Iterate.