CS student who builds AI tools and low-latency systems for financial teams.
Honours Computer Science + Statistics minor at the University of Waterloo. Currently a Technical Systems Analyst co-op at RBC. Interested in quant dev and trading systems — pricing engines, GPU compute, and the infrastructure around them.
QuantCore — real-time options pricing and risk engine. C++ Black-Scholes + Monte Carlo core with analytic Greeks and pybind11 bindings; Apple Metal GPU Monte Carlo runs up to 69x over vectorized NumPy at 10M paths (3.8–4.1x on CPU); FastAPI WebSocket streaming at sub-5ms p99 into a Next.js dashboard; 95% VaR backtested at a 4.5% breach rate over 851 days of real market data.
C++ Metal pybind11 FastAPI Next.js
CodeShift — LLM agent that migrates Python 2 to Python 3 and verifies behavioral correctness, not just syntax: 95.1% pass rate on a 41-case behavioral oracle benchmark, byte-identical results across Anthropic and Gemini backends.
Python parso LangChain
BulkPilot — embedded Shopify app for bulk variant price edits with live preview and one-click snapshot rollback.
React Router Polaris GraphQL Prisma
Languages: C++, Python, TypeScript Backend: FastAPI, PostgreSQL, pybind11 Frontend: Next.js, React Systems: Apple Metal (GPU compute), SIMD, multithreading
- Technical Systems Analyst co-op @ RBC, Toronto
- Seeking Fall 2026 co-op in quant dev / trading systems / fintech