Python, risk assessment methodologies related to AI systems, regulatory requirements and compliance standards in AI, Responsible AI, ethical AI frameworks and guidelines

Java, Data Structures, Kafka, Redis, Deep Learning, Algorithms, Gcp, MLops, Pytorch, Postgres, Python, AWS, Go

REST, Java, Typescript, Kafka, AWS, Python, Kubernetes, Gcp, Javascript, RAG pipelines, Open-source LLMs, Go, Schema validation, GRPC, Structured data handling

Python Scripting, Terraform, MongoDB, Cosmos DB, Secretless Authentication, Entra ID, Langchain, API Variant, Azure PaaS Stack, Managed Identities, semantic kernel, Zero-Trust Topologies, Private Networking, AI LLM Gateway Experience, CI CD, Azure Operations, GitHub Actions, Langgraph, AI frameworks, Enterprise level Observability

Python, Opencv, YOLOv8, SAM, BLIP2, TesserAct

graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems

S3, Dynamodb, Memory Management, Sql, Lambda, Typescript, Javascript, Rest Apis, Python, Api Gateway, Generative AI, Step Functions, Agent Frameworks, AI Guardrails, EventBridge, AWS AI Services, Claude Models, MCP Model Context Protocol, RAG, Amazon Bedrock, Prompt Engineering, Microsoft Copilot Studio

Flask, FastAPI, Python, LangChain, LangGraph, Chroma, Qdrant, Pinecone, PGVector

Rest Apis, Sql, Python, Git, MLops, Data manipulation tools, Model Deployment, CI CD pipelines, Microservices architecture