Research projects, open-source tools, and experimental work spanning AI, blockchain, mathematics, and signal processing.
High-performance signal processing library with GPU acceleration. Implements novel wavelet transforms and adaptive filtering algorithms for real-time audio and biomedical applications. This library read more →
Advancing evolutionary genetic programming for automated neural architecture discovery. Developing novel mutation operators and fitness landscapes for finding optimal deep learning read more →
Designed and implemented a hybrid consensus algorithm combining Proof-of-Stake with DAG structures. Achieved 10,000+ TPS while maintaining decentralization and security guarantees. This project read more →
Collaborative platform for federated learning with advanced privacy guarantees. Implements differential privacy and secure aggregation for distributed machine learning across organizations. This read more →
Experimental exploration of quantum algorithms for machine learning. Testing hybrid quantum-classical approaches on NISQ devices using Qiskit and PennyLane. This experimental project investigates read more →
Research on applying Riemannian geometry to financial time series analysis. Focus on manifold-aware learning algorithms for market volatility prediction and portfolio optimization. This work read more →
