---
title: "Aravindan TR - Software Engineer II in Chennai | Tal"
description: "Meet Aravindan TR, AI Product Engineer | Ex-Atlan | Open to new roles — global / remote / freelance | About me: aravindan.cc based in Chennai. AI stack includes anthropic apis, claude code, and cursor. Explore public work links including github and aravindan.cc."
image: "https://tal.club/meet/aravindan-tr/share-image"
---

# Aravindan TR on Tal

## Headline

AI Product Engineer \| Ex\-Atlan \| Open to new roles — global / remote / freelance \| About me: aravindan\.cc

## About

I build AI that holds up in production\. Most AI demos impress in a room and break in the real world\. I'm the person who takes them from "look, it demos" to "look, it's reliable" — the eval loops, the tool boundaries, the boring plumbing that makes agents actually usable\. Over the past 2\+ years, I've shipped multi\-agent systems in production: \- Built an AI support agent \(Nora\) that deflected 75 tickets/month — up from 18 — projecting $60K–$100K in annual savings\. LangGraph orchestration with Glean RAG and specialist sub\-agent routing on Zendesk\. \- Built Mothership, an autonomous ticket\-to\-PR pipeline that reads a Linear ticket, spins up a sandbox, clones a repo, implements changes, and opens a review\-ready GitHub PR\. Lifted first\-pass correctness from \~40% to \~75%\. \- Shipped a Description Agent that auto\-generates documentation for tables and columns by learning from lineage and usage patterns\. Covered 700K\+ assets across 50 customers in 14 days — roughly 450× faster than manual work, saving \~110K hours\. \- Built a Metrics Glossary Agent that auto\-discovers KPIs from BI tools and SQL lineage, reducing metric documentation effort by 70%\. My toolkit: LangGraph, Python, TypeScript, RAG, LLM evals, FastAPI, React, Postgres, Docker, Cloudflare\. I work across Claude, GPT, and Gemini\. I'm currently looking for my next role — specifically, a cross\-functional team shipping AI\-native products end\-to\-end\. Open to global \(with visa\), remote, and freelance opportunities\. Portfolio: aravindan\.cc Github: https://github\.com/aravindsriraj

## Location

Chennai

## AI stack

anthropic apis

claude code

cursor

langgraph

openai

hermesagent

## Work experience

Software Engineer II at Atlan, Sep 2025 \- Jun 2026 · 10 mos, • Developed an autonomous agent on the deep agents framework to extract KPIs from BI tools and SQL lineage\. • Automated documentation workflows, reducing manual effort by 70% and enhancing efficiency\. • Created an AI system that auto\-generates documentation for 700K\+ data assets, achieving a 90%\+ user acceptance rate\.

Software Engineer I at Atlan, Aug 2024 \- Sep 2025 · 1 yr 2 mos, • Architected and deployed end\-to\-end internal AI applications to streamline engineering workflows\. • Developed Mothership, an AI\-native system that automates ticket\-to\-PR transformation, enhancing functional correctness\. • Built Nora, a multi\-agent support automation platform, improving operational efficiency and saving projected costs\.

Software Engineer Intern at Atlan, Feb 2024 \- Aug 2024 · 7 mos

Data Science Intern at Scaler, Aug 2022 \- Dec 2023 · 1 y 4 mo, India

## Education

M\.Tech CSE, Business Analytics, Vellore Institute of Technology

## Public links

- github: https://github\.com/aravindsriraj
- aravindan\.cc: https://aravindan\.cc/

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

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