Git, Docker, Python, LangChain, LangGraph, Agentic AI, Multi-Agent systems

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

Distributed Systems, LangChain, LangGraph, policy enforcement, ML platforms, cost controls, embeddings pipelines, LLMs, agent orchestration frameworks, RAG retrieval, observability

Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines

Jira, Azure ML, Jenkins, Git, Confluence, Databricks, Rest Apis, Python, RAG workflows, CrewAI, LLMs, AI Agents, PydanticAI, event-driven architectures, Codeium, AutoGen, LangGraph, WebSockets, GitHub Copilot, Windsurf

FastAPI, LangChain, embedding pipelines, idempotency, message queues, Anthropic APIs, distributed systems patterns, Pinecone, prompt engineering, AutoGen, LangGraph, Python 3.10, asyncio, FAISS, Vertex Matching Engine, structured logging, event-driven architecture

Tensorflow, Numpy, Git, Pandas, Pytorch, MLops, Docker, Databricks, Azure, Python, AWS, LangChain, Transformers, LLMs, scikit-learn, Hugging Face, retrieval-augmented generation, MLflow, CI CD

snowflake , Machine Learning, Artificial Intelligence, Natural Language Processing, Sql, Tensorflow, MLops, Pytorch, Databricks, Azure, Python, AWS, Scikit-learn

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Fine-tuning techniques for LLMs, Transformer architecture