Chess Engine Development

Overview

This project focused on building chess engines from scratch in both Python and C++ and deploying them for live play on Lichess.org.

Problem

The goal was to turn core classical engine techniques into a self-built system strong enough to compete credibly in live online games.

Approach

• Implemented iterative deepening to improve move quality under practical time constraints.
• Built minimax search with alpha-beta pruning to explore candidate lines efficiently.
• Added piece tables and quiescence search to improve evaluation quality and tactical stability.

Result

Achieved an estimated 1500 Elo rating on Lichess.org with self-built engines deployed in both Python and C++.

Stack