Machine Learning, Tensorflow, MLops, Pytorch, Terraform, Spark, Databricks, Python, AWS, LangChain, GenAI, scikit-learn, Hugging Face, OpenAI

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