Tensorflow, Pytorch, Docker, Apache Spark, Kubernetes, Python, AWS SageMaker, Scikit-learn, MLflow

Tensorflow, Numpy, Pytorch, Python, AWS, Scipy, Sql, React, Pandas, Gcp, Keras, Rest Apis, Azure, RNNs, Deep Learning architectures, CNNs, LLM APIs, Chain-of-Thought, distributed data processing frameworks, open-weight open-source models, classical ML algorithms, hybrid search techniques, Few-shot prompting, Vector Stores, Transformers, Advanced Prompt Engineering techniques