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

infrastructure for agentic contributions to the passagemath monorepo.

reproducible environment management.

• issue-driven development and clean commit history (inspired by the perfect commit)
• heavy reliance on issues to track scope, assumptions, and follow-up work
• uv for 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.

• how fragile is the ai industry?