I'm a professional programmer and advanced chess player focused on high-performance software, neural architectures, and efficient system design. My work involves developing hybrid AI systems, advanced chess engines, and experimental algorithms that push the limits of computation and intelligence modeling.
QuantumKing is a next-generation chess engine built with a hybrid search framework integrating six core algorithms:
- Minimax with Alpha-Beta Pruning
- Negamax with Alpha-Beta Pruning
- MTD(f)
- Monte Carlo Tree Search (MCTS)
- NegaScout
- QMM (Quantum Minimax)
It utilizes a custom neural architecture named NNUH (Hyper-Efficiently Updatable Neural Network) that evaluates and refines move selections generated by the hybrid search process.
QuantumKing achieves a peak Elo of 4095, combining deep evaluation precision with computational efficiency.
- Neural Network Engineering and Compression
- Engine Architecture and Search Algorithms
- Systems Programming
- Algorithm Optimization
- AI Evaluation Models
My repositories focus on experiments in engine logic, neural efficiency, and algorithmic intelligence.
Some projects remain private due to ongoing R&D and proprietary development.