Ciniro Nametala

Deep learning architectures for time series forecasting (attention mechanisms, state-space models like Mamba, transformers). Optimization techniques (metaheuristics, evolutionary algorithms, hyperparameter tuning) applied to model training and decision-making problems. Applications in energy markets, algorithmic trading, and agrocomputing. Interested in efficient training on Apple Silicon (MPS) and bridging classical AI with modern neural approaches.