---
title: "Sreekar Paruchuru - Machine Learning Engineer in Pune District | Tal"
description: "Meet Sreekar Paruchuru, ML Engineer | Agentic AI Systems | RAG Pipelines | IIT Dhanbad | Open to Opportunities based in Pune District. AI stack includes codex, cursor, and opencode."
image: "https://tal.club/meet/sreekar-paruchuru/share-image"
---

# Sreekar Paruchuru on Tal

## Headline

ML Engineer \| Agentic AI Systems \| RAG Pipelines \| IIT Dhanbad \| Open to Opportunities

## About

Machine Learning Engineer with 2\+ years of hands\-on experience building production\-grade AI systems in Python\. Specialized in LLM integration, RAG pipelines, agentic workflows, and automated evaluation frameworks — with proven impact across enterprise AI deployments\. Currently building and deploying production agentic LLM systems on Azure — session\-scoped RAG pipelines, client\-side tool orchestration, and end\-to\-end Terraform deployment across scalable FastAPI microservices\. Open to agentic AI and LLM engineering roles — remote, hybrid, or relocation\. 📬 sreekar0664@gmail\.com \| github\.com/sreekarp

## Location

Pune District

## AI stack

codex

cursor

opencode

## Work experience

Machine Learning Engineer at Sandvik, Nov 2024 \- Present · 1 yr 10 mos, • 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\.

AI Engineer Trainee at Sandvik, Jul 2024 \- Nov 2024 · 5 mos, • 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\.

Event Manager at Electronics & IOT Club , IITISM Dhanbad, Jul 2022 \- Aug 2023 · 1 yr 2 mos

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, Indian Institute of Technology \(Indian School of Mines\), Dhanbad

Intermediate, MPC, tirumala junior college

[View the original profile](https://tal.club/meet/sreekar-paruchuru)

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