Natural Language Processing, Deep Learning, MLops, Gcp, Docker, Kubernetes, Python, LangChain, CPLEX, reinforcement learning, BigQuery ML, Mixed-Integer Programming, Vertex AI, LlamaIndex, Gurobi, Linear Programming

Distributed Computing, Neural Networks, Microservices, Tensorflow, Numpy, Nlp, Pytorch, Python, Machine Learning Algorithms, Apis, AI ML, Sql, Azure ML, Computer Vision, MLops, Pandas, Keras, embeddings, ML security governance, GenAI techniques, vector databases, CI CD, responsible AI guidelines, data engineering concepts, Google Vertex AI, Statistical Modeling, LLMs, Scikit-learn, AWS SageMaker

snowflake , Machine Learning, Pyspark, AWS Glue, Kafka, Tensorflow, Data Science, Pytorch, XGBoost, Python, AWS, Devops Automation, Sql, MLops, Spark, Kubernetes, Airflow, Infrastructure as Code, Generative AI, LLMOps, LightGBM, Scikit-learn, dbt, AI agents

snowflake , BigQuery, Redshift, Python, Sql, AI tools, Airflow, R, dbt

Hypothesis Testing, Tensorflow, Pytorch, Python, Statistical Analysis, KubeFlow, LLM-based systems, classification algorithms, probabilistic graph models, forecasting techniques, Azure cloud infrastructure, BentoML, Sci-Kit Learn

Azure, Python, AWS, Prompt engineering, Fine-tuning large language models

Tensorflow, Pytorch, Python, Sql, R, scikit-learn