---
title: "Mahesh Chavan - Artificial Intelligence Engineer in Greater Bengaluru Area | Tal"
description: "Meet Mahesh Chavan, Artificial Intelligence Engineer @ Samsung | Building AI Solutions based in Greater Bengaluru Area. AI stack includes claude, codex, and cursor. Explore public work links including github and navahchseham-portfolio.netlify.app."
image: "https://tal.club/meet/mahesh-chavan/share-image"
---

# Mahesh Chavan on Tal

## Headline

Artificial Intelligence Engineer @ Samsung \| Building AI Solutions

## About

I am a performance\-driven AI Engineer with 3 years of experience, currently building LLM\-powered systems at Samsung Electro\-Mechanics\. My work focuses on turning applied AI research into reliable, production\-grade tools that engineering teams use daily\. My technical focus lies in designing retrieval\-augmented generation \(RAG\) pipelines, agentic workflows, and fine\-tuned language models that solve real engineering problems — from semiconductor datasheet search to automated ticket triage — while keeping every system auditable, scalable, and safe for production use\. Key Highlights: Recognized Excellence: Awarded "Best Employee" \(H1 2024\) at Problem Solving: Secured 1st place at CentuRITon, a national\-level hackathon, competing against 100\+ teams and endorsed by Devfolio & MLH\. Measurable Impact: Cut average issue resolution time nearly in half \(40 min → \~22 min\) with LangGraph\-based automation agents, and improved retrieval precision by \~20% through custom metadata\-aware document chunking\. Core Technologies: Python, LangChain, LangGraph, HuggingFace Transformers/PEFT, RAG, Elasticsearch, FastAPI, PostgreSQL, Docker, Kubernetes, MLflow, gRPC

## Location

Greater Bengaluru Area

## AI stack

claude

codex

cursor

gemini

hugging face

ollama

## Work experience

Artificial Intelligence Engineer at Samsung Electro\-Mechanics, Aug 2023 \- Present · 3 yrs 2 mos, Bengaluru, Build and maintain internal RAG pipelines using LangChain, Elasticsearch \(hybrid dense \+ BM25 search\), and OpenAI embeddings, enabling engineers to query semiconductor datasheets and technical documents\. Design document ingestion pipelines with metadata\-aware chunking to improve retrieval precision and search relevance across large internal document corpora\. Develop LLM\-based agents using LangGraph with ReAct prompting to automate internal workflows such as log analysis and ticket triage, integrating tools for SQL querying, REST APIs, and file parsing\. Implement human\-in\-the\-loop guardrails in agent workflows, requiring engineer approval before destructive actions, with full execution traces logged for auditability\. Fine\-tune open\-source LLMs \(Mistral\-7B\) using QLoRA on domain\-specific data, running inference entirely on\-prem\. Set up LLM evaluation workflows using RAGAS, integrated into CI pipelines to catch prompt and model regressions before deployment\. Deploy model inference services on an on\-premise Kubernetes cluster using Docker, Helm, and Nginx, with auto\-scaling to handle production traffic\. Own the MLOps lifecycle for internal ML projects — dataset/model versioning, automated training pipelines, and staged deployment rollouts\. Skills used: Python · LangChain · LangGraph · Elasticsearch · HuggingFace Transformers · PEFT/QLoRA · RAG · FastAPI · Docker · Kubernetes · MLflow · PostgreSQL · CI/CD

Software Engineer at Samsung Electro\-Mechanics, Feb 2023 \- Aug 2023 · 7 mos, Bengaluru, Karnataka, India

Intern at The Machine Learning Company, Nov 2021 \- Jan 2022 · 3 mos, India, During this period I completed three projects under the guidance of the TMLC\. The projects are: 1: Agricultural N2O Flux prediction 2: Patient survival prediction 3: Reddit upvote prediction using machine learning

Fellowship at Alphaa AI, Dec 2020 \- Feb 2021 · 3 mos, Newark, Delaware, United States

## Education

Bachelor's degree, Computer Science, Dayananda Sagar College of Engineering, BANGALORE

12, Mathematics, kendriya vidyalaya

## Public links

- github: https://github\.com/navahchseham
- navahchseham\-portfolio\.netlify\.app: https://navahchseham\-portfolio\.netlify\.app/

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

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