MySQL, PostgreSQL, FastAPI, MongoDB, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

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

Github, BigQuery, Google Cloud Platform, PostgreSQL, Jira, Django, Cloud Storage, FastAPI, DataFlow, Python, LangChain, vector databases, Cloud Run, Vertex AI, AI agents, GenAI orchestration frameworks, RAG pipelines, Google ADK

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

Bash Scripting, Python Programming