Large Language Models (LLMs), Generative AI, AI ML models, Machine learning pipelines, Modernizing legacy code, Infrastructure automation development, AI application development

MLops, Data Knowledge Integration, Enterprise Integration Architecture, LLMOps, Responsible AI Governance, API Event-Driven Design, Cloud Platform Architecture, Architecture Leadership, AI ML Generative AI Solutions, Agentic AI Workflow Orchestration, Stakeholder Vendor Management

Python Programming, AWS, React Js, Gcp, Foundry ML, Evaluation, AI Search, Vision, LLMOps, LangSmith, Microsoft Azure PaaS, RAGAS, RAG, Azure AI Stack, LangChain, Azure Function Apps, CrewAI, Agentic Frameworks, Logic Apps, Document Intelligence, LangGraph

Numpy, Pandas, Pytorch, Python, Deep Learning, Etl, LangChain, LangGraph, Agentic AI, Data Pipelines

graph databases , Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI

Spark, Sql, Java, Dynamodb, Tensorflow, Kafka, Machine Learning, Pytorch, Redis, MySQL, Cassandra, Kubernetes, Nosql, Python, Docker, PostgreSQL, Go

Java, Apache Spark, Machine Learning, Python, Kubernetes, Terraform, Scala, Airflow, Ray, Vertex AI, FluxCD, Flink, Containerization frameworks, MLFlow, Jupyter Notebooks

Java, Sql, Numpy, Javascript, Pandas, Pytorch, Docker, Keras, Python, Langchain, scikit-learn, OpenAI API, RAG