I believe the best backend engineers think in graphs, constraints, and state transitions. Studying Mathematics at the University of Waterloo has given me the theoretical tools to approach distributed consistency, memory access patterns, and algorithmic optimization with precision rather than guesswork.
Bachelor of Mathematics (B.Math Honours)
The Combinatorics and Optimization program at Waterloo is internationally recognized for its rigorous focus on discrete mathematics, graph theory, continuous optimization, cryptography, and network algorithms.
Translating theory into software performance
My computational math studies emphasize numerical accuracy, algorithmic complexity analysis, and modern low-level systems programming in C and C++, ensuring software is designed with mechanical awareness.
Code runs on physical silicon, memory caches, and network interfaces. Understanding thread scheduling, socket ring buffers, and cache line invalidation allows me to write multi-threaded servers and data pipelines that do not waste CPU cycles on needless overhead.
In cloud environments, failures are routine. Whether engineering serverless transaction handlers on AWS Lambda or asynchronous microservices, I design for idempotency, strict schema validation, deterministic recovery, and zero data loss between DynamoDB and S3.
If you cannot measure performance and load limits, you cannot guarantee reliability. Having authored automated load suites and CI/CD pipelines at Agfa Healthcare, I prioritize automated telemetry, regression baselines, and synthetic stress testing.
Download a copy of my resume or reach out directly to discuss upcoming software engineering co-op and internship roles.