Kibana, Kafka, Sklearn, Redshift, Redis, Tensorflow, Rabbitmq, Kinesis, Docker, Spark, Flask, MongoDB, Pytorch, Kubernetes, Airflow, Mlflow, Sagemaker

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