Tensorflow, Pandas, MLops, Pytorch, Gcp, AWS, Kubernetes, Python, Docker, Traditional ML, vLLM, Airflow, model risk management, scikit-learn, GenAI LLM, LLM Orchestration frameworks, CI CD pipelines, LMDeploy, LangGraph, AI governance, Kubeflow, MLflow, Langchain, NoSQL databases, Graph database

Tensorflow, Azure ML, Numpy, Pandas, Pytorch, Python, Machine Learning Algorithms, LangChain, Scikit-learn, tree-based models, MLOps practices, AWS SageMaker, regression techniques, Microsoft Copilot Studio, gradient boosting frameworks

MLops, AI ML, data pipelines, streaming systems, event-driven architecture, CI CD, observability

.NET, Machine Learning, Google Cloud Platform, Nodejs, Deep Learning, React, Docker, Microsoft Azure, Flutter, Python, Azure DevOps, Agentic AI Workflows, LLMs, Agent Orchestration, REST API Design, Vector Databases, RAG, Backend APIs, MCP, Prompt Engineering