mathematics & scientific computation student at uc davis, interested in modeling, simulation, and decision systems.
i build practical python projects: simulation engines, terminal tools, and technical research writing.
trading exchange / limit order book simulator with typed interfaces and a matching engine.
- price-time priority matching
- layered architecture (network -> interface -> engine)
- settlement bookkeeping + validation checks
- benchmark-focused engineering and reliability testing
terminal-first symbolic calculator (philcalc on pypi).
- exact-by-default results for symbolic workflows
- fast terminal solving flow without browser context switching
- predictable one-shot + repl behavior for repeatable usage
go game engine with bots and tournament runner.
- full rules handling (captures, ko, termination)
- scoring + state validation
- edge-case-focused tests
lightweight distributed compute cooperative pooling personal machines for parallel modeling and simulation.
- pull-based worker/coordinator architecture over secure overlay networks
- isolated execution environments for job runs
- transparent state tracking, log recording, and artifact storage
- built for high-throughput batch experimentation without cloud overhead
- issue-driven development and clean commit history (inspired by the perfect commit)
- heavy reliance on issues to track scope, assumptions, and follow-up work
uvfor fast, reproducible python environments- seeking collaboration on structured technical projects and research-oriented engineering
- currently scoping a coding club for math students focused on practical python projects (bots, calculators, simulation)
technical and policy analysis at sacchen.github.io.