Shaurya Sharma
AI ML Agentic AI Engineer
About
AI Engineer with hands-on, production experience building agentic AI systems that structure unstructured data into knowledge graphs and ontologies for AI agents to reason over, call tools, and drive operational workflows. Strong Python with experience in data modelling, graph-based/knowledge-graph systems (RDF/OWL), multi-agent orchestration (LangGraph, AutoGen, MCP), tool-calling agent workflows, prompt design, and evaluation frameworks (hallucination and groundedness testing, claim-to-source alignment). Delivered full-stack, cloud-hosted platforms end-to-end, including edge-AI work on resource-constrained hardware (Jetson Nano, Raspberry Pi), relevant to industrial and real-world operational environments.
Looking for
AI/ML Engineer, Agentic AI Engineer, or Generative AI Engineer roles focused on LLMs, RAG, AI agents, multi-agent systems, and production AI systems. Interested in building scalable AI applications using Python, LangGraph, LangChain, FastAPI, cloud platforms, and modern LLM infrastructure.
Skills
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