Reduce latency. Scale compute. Harden critical systems.
High-performance & accelerated systems engineering.
Quantitative infrastructure for companies that need reliability, speed, and deep technical precision.
High-performance financial data pipeline processing 231M+ cryptocurrency OHLCV records with GPU acceleration and 500x query speedup.
C++20 financial market simulation engine implementing geometric Brownian motion and stochastic volatility models.
Scalable transportation demand simulation framework handling 10,000+ concurrent route requests using Markov chain probability models.
OTTO Motors develops autonomous mobile robots for industrial logistics. I worked on simulation and systems infrastructure for distributed robotics testing. This included simulation architecture, CI/CD pipelines and performance optimization including 85% latency reduction in user facing tools.
Cerebras builds the world's largest AI accelerator (Wafer-Scale Engine). I developed infra and debugged issues through containerized runtimes for wafer-scale computing. This included developing debug tooling for large-scale parallel computing environments and analyzing LLM performance throughput on novel hardware.
RideCo provides on-demand transit optimization software. I worked on backend systems reliability, distributed integration testing and quality analysis. This included delivering mocks and test infrastructure for optimization algorithm, CI/CD pipelines and software auditing.
M.Eng. Electrical & Computer Engineering (4.0 GPA)
University of Waterloo
Graduate Diploma in Software Engineering (4.0 GPA)
University of Waterloo
B.Sc. (Honours) Physics
Dalhousie University
I'm seeking quantitative software engineering roles where engineering precision and measurable impact drive outcomes in low-latency systems, algorithmic trading infrastructure, or high-performance computing environments.