Keras, Deep Learning, Tensorflow, Pandas, MLops, Numpy, Pytorch, Python, Running rigorous experiments, Machine Learning concepts and algorithms, scikit-learn, Retrieval and grounding systems, Scoring methods, Scaling and deploying machine learning models, Benchmark datasets, RESTful microservices API development

pruning , Pytorch, Regression Analysis, Python, Large-scale model deployment, Distributed training systems, Quantization, Benchmarking, Efficient deep learning, Model optimization, Model optimization and compression techniques, Multimodal optimization challenges, Large-scale experimentation workflows, Efficiency profiling