AI/ML Engineer | Agentic Systems | MLOps
Building production AI systems with advanced RAG, observability and evaluation
I am an AI Engineer building autonomous agents that are smarter than my last three Slack threads, working on production AI/ML systems. My focus is making advanced RAG and agentic pipelines observable, measurable and reliable.
- Building agentic systems with LangChain, LangGraph and MCP
- Tracing, evaluating and monitoring LLM applications with LangSmith, Langfuse and Ragas
- Applying probabilistic and Bayesian modelling to real-world decision problems
- Mentor and core team lead at Innogeeks, guiding junior students in machine learning
- AWS Certified: AI Practitioner and Machine Learning Engineer Associate
| AI ML |
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| Agents & GenAI |
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| Observability & Evaluation |
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| MLOps & Cloud |
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| Backend & Data |
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| Frontend |
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| Project | Description | Stack |
|---|---|---|
| Patent Gap Finder | 9-tool MCP server for patent analysis: claim extraction, IPC/CPC classification and prior-art search | FastMCP, Qdrant, Redis, Docker |
| Papeer | Agentic RAG chatbot with multi-session memory, ArXiv/URL/PDF ingestion and a claim-verification pipeline | LangGraph, LangChain, Qdrant, Streamlit |
| Recovery Decision Engine (demo) | Calibrated Bayesian engine for recovering failed subscription payments | PyMC, Streamlit |
I'm open to AI/ML engineering roles and to collaborating on agentic AI, RAG evaluation and MCP tooling.
- Email: prashantshukla9812@gmail.com
- LinkedIn: prashant-shukla