# Chess Engine

> An alpha-beta chess engine, built at Google to benchmark a reinforcement-learning agent.

- Period: Jan 2025 – Feb 2025
- Role: Software Engineering Apprentice, Google
- Status: archived
- Related work history: https://ethanaustincruse.com/experience/google.md

## Highlights

- Designed a chess engine with alpha-beta pruning that reaches 500k–650k evaluations per second, used to benchmark a reinforcement-learning agent.

## Metrics

| Metric | Value |
| --- | --- |
| Evals / sec | 500k–650k |