Sreekar Paruchuru
ML Engineer | Agentic AI Systems | RAG Pipelines | IIT Dhanbad | Open to Opportunities
Pune District
3+ years of work experience
Nov 20241 yr 10 mosPresent
• Architected an agentic LLM system on Azure for CNC post-processor generation — designed a session-scoped RAG pipeline over 5,000+ documents, built custom tool orchestration workflows via Pythia Reason API, and refactored a Streamlit monolith into three independently scalable FastAPI microservices on Azure Container Apps, targeting 50%+ reduction in post-processor creation time.
• Built a Generative AI evaluation framework for automated test case generation (negative, edge-case, regression) from historical validation data, reducing enterprise software validation time by 60%.
• Prototyped a RAG-based Tutorial Chatbot over internal product documentation using LangChain and vector retrieval; approved for productionisation to reduce onboarding time and self-service support load.
• Replaced a rule-based classifier with a Graph Neural Network model for 3D CAD part classification, improving production workflow scalability and robustness.
Jul 20245 mosNov 2024
• Researched and evaluated enterprise AI solutions including RAG, Graph-RAG, AI agents, and Databricks for real-world deployment; developed PoCs to assess feasibility of LLM solutions in enterprise workflows.
Jul 20221 yr 2 mosAug 2023
Sreekar’s AI Stack
Education
Bachelor of Technology - BTech, Electronics and Communications Engineering
Indian Institute of Technology (Indian School of Mines), Dhanbad
20204 yrs2024
Intermediate, MPC
tirumala junior college
20182 yrs2020
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