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

Learning-focused quantitative modeling project for flight CO2 estimation under uncertainty.

• Deterministic baseline model + explicit assumption tracking
• Monte Carlo uncertainty propagation workflow
• Validation against public calculators with route-level error analysis
• Methods and sprint documentation for reproducible modeling

• I like issue-driven development and clean commit history, inspired by The Perfect Commit.
• I use Issues heavily to track scope, assumptions, and follow-up work.
• I use uv for fast, reproducible Python environments and tooling.
• I do my best work with clear problems, regular feedback, and long-term ownership.

I am interested in collaborating on structured technical projects and research-oriented engineering work.

I am also exploring making a coding club for math students focused on practical Python projects (bots, calculators, and simulation tools).

I blog at sacchen.github.io, including technical/policy analysis.

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