Devops, Python, Context Engineering, Responsible AI, Benchmarking, Agent Security, Multi Agent Orchestration, RAG Prompt Engineering, LangFuse, OpenAI Agents SDK, MCP Implementation, Evaluation sets, LangGraph

PostgreSQL, Css3, Angular, Django, Vue.JS, Git, React, Javascript, MySQL, Html5, Flask, MongoDB, Restful Apis, Python, Fast API

Java, Oauth2, Distributed Systems, Python, LangGraph ADK, AI evaluation frameworks, scalable AI platforms, distributed tracing, multi-model LLM integration, Kong Apigee gateways, rate limiting, OpenTelemetry, secure access patterns, OpenAPI, mTLS, agent orchestration, OpenAI-compatible APIs

data protection), AI security (prompt-injection defence, Networking, FastAPI, Python, LangChain, Generative AI, AWS Bedrock, Vector databases, Azure AI Foundry, LangGraph, Async event-driven design, Agentic AI, Identity and security, tracing and observability, Hybrid search and retrieval evaluation, LLM evaluation

Java, Javascript, Json, Sql, Python, data annotation tools, prompt engineering

graph databases , Neo4j, Git, Sparql, Python, semantic technologies, vector indexing, ontologies, hybrid retrieval, data-quality controls, embeddings, Amazon Neptune, RAG, AWS Bedrock, Knowledge Graphs, document parsing, Cypher, chunking, retrieval evaluation, entity extraction, error handling, Graph RAG, groundedness testing, relationship extraction, metadata extraction