data engineering , Machine Learning, MLops, Natural Language Processing, Algorithm Design, Deep Learning, Cloud Platforms, AI Ethics, Python Programming Language, Generative AI LLMs

Github, Functions, Data Modeling, Unit Testing, Pyspark, Nosql, Databases, Software Development Lifecycle, Docker, Python, AWS, Triggers, Sql, Numpy, Pandas, Gcp, Databricks, FastAPI, Azure, Kubernetes, embeddings, functional programming, SQL optimization, schema creation, Normalization, LLMs, cloud platforms, prompt engineering, Generative AI solutions, database architecture design, retrieval techniques

snowflake , Java, Kafka, Spring Boot, FastAPI, Python, Sql, multi-agent frameworks, AWS Bedrock, RAG architecture, LLMs

Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Python, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Microservices applications, intelligent agents, Data pipelines, AI security, Generative AI applications

PostgreSQL, Git, Docker, Rest Apis, Python, GenAI, LLMs, Microsoft Foundry, Azure OpenAI, Semantic Kernel, LangGraph, AI agents, Azure AI, Microsoft Agent Framework

FastAPI, Rest Apis, Python, LangChain, LangGraph, Generative AI, vector databases, AI governance, Prompt Engineering, semantic search

Docker, FastAPI, Kubernetes, Python, evaluation benchmarks, LLMOps, production observability, agent state loops, ground-truth dataset creation, EKS, distributed system debugging, API architecture

Databricks, Azure, Python, GenAI, Transformers, LLMs, faiss, privacy frameworks, pinecone, Azure Foundry, Pydantic, hallucination mitigation, agentic architectures, OpenAI, AI security, Governance

Apis, Git, Docker, FastAPI, Python, LangChain, AgentCore, RAG LLMs, CI CD, LangGraph, AI evaluation guardrails, A2A, production debugging, MCP, AWS Amazon Bedrock, observability