
Graduate Research Assistant
Developed Python tooling for CFD and scientific computing. Facilitated weekly scrum‑style meetings across Applied Math and Chem Eng. Collaborated with a team of four to prototype and benchmark solvers.
Applied Mathematics (M.Math) graduate and software engineer focused on scientific computing, numerical methods, and computational fluid dynamics. I turn complex models into performant, maintainable code.
I’m a University of Waterloo M.Math grad in Applied Mathematics with 2+ years of software engineering experience in scientific computing and CFD. My work centers on high‑performance Python, numerical methods, and building tools that make large, abstract datasets usable.
I like pragmatic engineering: clear APIs, strong tests, fast iterations, and good docs. Always exploring new tech that tightens feedback loops.
Developed Python tooling for CFD and scientific computing. Facilitated weekly scrum‑style meetings across Applied Math and Chem Eng. Collaborated with a team of four to prototype and benchmark solvers.
Built code to model a chemical reaction; co‑authored a paper and presented at the Canadian Undergraduate Math Conference. Improved legacy C code and added higher‑order numerical schemes. Automated concurrent simulations via Bash.
Developed Python algorithms that supported proofs in graph theory; co‑authored a published paper and gave a talk at CUMC for 50+ students.
Implemented Python algorithms for Matroid theory on Unix; marked quizzes for a large course cohort (80+ students).
Handled inquiries and donations; maintained financial records with an improved Excel system. Coordinated Relay For Life, raising $60k+.