Deep Learning, Tensorflow, Pandas, Numpy, MLops, Pytorch, Keras, Python, scikit-learn, LLM-based pipelines, RESTful microservices, Machine Learning concepts and algorithms, Scoring methods, Retrieval and grounding systems, Benchmark datasets, Evaluation frameworks

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