Algorithms, large language model architectures, inference engines, sampling techniques, Optimization, pretraining, model compression, quantization strategies, reinforcement learning, knowledge distillation, instruction tuning

statistical data analysis , Machine Learning, Python, Sql, Statistical Analysis, sampling methods, R, ML modeling, causal inference methods, experimentation

Github, MATLAB, Tensorflow, Numpy, Pytorch, Docker, Data Visualisation, Python, Image Processing, Sql, Dashboards, Git, Pandas, MLops, Computer Vision, Linux, Rest Apis, scikit-learn, explainable AI, model validation, R, data acquisition, time-series analysis, UX prototyping, data preprocessing, uncertainty robustness analysis, model optimisation, clinical data governance, software-hardware interfacing, Jupyter, biomedical signal processing, feature engineering