Machine Learning Engineer with a focus on deep learning architecture design and rigorous model development for computer vision and time-series tasks. Skilled in Transformer architectures, convolutional networks (including transfer-learning setups), ensemble methods for robust predictions, and statistical/time-series forecasting techniques. Experienced in training, hyperparameter tuning, model selection, interpretability, and performance optimization. Strong emphasis on reproducible experiments, evaluation metrics, and scalable model pipelines.