High-performance C# chess engine with alpha-beta pruning, iterative deepening, and an NNUE evaluation model trained on Stockfish Fishtest self-play data.

2026 — 8M+ nodes/sec, depth 18–20

• Developed a high-performance chess engine in C# implementing alpha-beta pruning and iterative deepening, achieving an average search depth of 18 to 20 moves while evaluating 8M+ nodes per second.
• Ensured engine correctness through perft validation, systematically verifying move legality and edge cases.
• Built and trained an NNUE neural evaluation model using PyTorch on 1B+ positions from Stockfish Fishtest self-play games.

• C#
• Python
• PyTorch

Real-time multiplayer chess platform with WebSocket communication, RESTful matchmaking, and a Dockerized architecture for cross-environment testing.

2025 — Full multiplayer client-server architecture

• Developed a real-time multiplayer chess game with client-server communication using Web Sockets.
• Created a RESTful API backend to handle user sessions, game state, and matchmaking logic.
• Deployed a dockerized architecture to simulate and test multiplayer functionality across environments.

• JavaScript
• WebSockets
• REST API
• Docker

First-person 3D parkour platformer built in Unity with physics-based movement, collision detection, and progression-focused level design.

2021 — Unity gameplay and movement systems

• Developed a first-person 3D parkour platformer using Unity Engine and C#.
• Implemented physics-based movement, collision detection, and level progression mechanics.

• Unity
• C#