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

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

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