---
title: "Gaurav Singh - Software Engineer in Bengaluru | Tal"
description: "Meet Gaurav Singh, Engineering @ Atlan | GSoC’25 @ Keploy | C4GT’25 @ OpenNyAI | C4GT’24 @ eGov Foundation | vLLM Contributor | Agentic Systems | LLM Inference | Building Scalable, AI-Driven Platforms based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links in..."
image: "https://tal.club/meet/gaurav-singh-9/share-image"
---

# Gaurav Singh on Tal

## Headline

Engineering @ Atlan \| GSoC’25 @ Keploy \| C4GT’25 @ OpenNyAI \| C4GT’24 @ eGov Foundation \| vLLM Contributor \| Agentic Systems \| LLM Inference \| Building Scalable, AI\-Driven Platforms

## About

AI Engineer building production agentic systems and workflow reliability , curious for LLM inference engineering :\) I'm Gaurav Singh, Software Engineer at Atlan, where I work on multi\-tenant platform systems at the intersection of AI agents, observability, and distributed workflows \(Temporal\)\. I take messy operational problems and turn them into structured, measurable systems: failure attribution, better alert quality, agentic quality control, and knowledge layers agents can actually use\. What I ship in production 1\. Agentic systems for engineering workflows : multi\-paradigm PR quality agents, LangGraph\-based failure classification with memory \+ human\-in\-the\-loop 2\. Workflow &amp; platform reliability : Temporal observability beyond UI retention, SDK metrics standards, near\-realtime alerting, multi\-tenant failure ownership 3\. Enterprise context for AI : Knowledge Folders \+ MCP tools so agents can read/write governed unstructured knowledge \(SOPs, KPI glossaries\), not just tables and schemas\. Open source &amp; impact 1\. GSoC '25 @ Keploy — multi\-LLM code\-review agent on CI \(Go\), free for public repos via GitHub\-hosted models \+ Ollama/GGUF; intelligent diff chunking and model benchmarking across 10\+ LLMs 2\. C4GT '25 @ OpenNyAI — legal AI / document understanding for Indian legal contexts 3\. C4GT '24 @ eGov Foundation — Flutter platform work \+ voice accessibility for civic products Contributed to impactful Open source projects such as openclaw , screenpipe , vllm , Agent SDK and googlepay etc\. How I think I care about systems that hold up under real load: latency budgets before features, fallbacks before happy paths, evals before hype\. I write and ship , architecture notes, agents, and platform primitives other teams depend on\. Stack Go · Python · Java · Temporal · LangGraph / agents · MCP · RAG · Kubernetes · Docker · GitHub Actions · Grafana / OpenTelemetry · PostgreSQL · multi\-LLM \(OpenAI, Anthropic, Gemini\) Brag sheet \(deeper work stories\): https://gaurav\.bar/brag GitHub: https://github\.com/EuclidStellar Portfolio: https://euclidstellar\.vercel\.app

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

grok

opencode

## Work experience

Software Engineer at Atlan, Apr 2026 \- Present · 5 mos, San Francisco Bay Area, AI , observability , Argo , Temporal and platform @Atlan Basically, wearing all hats 🎓

AI Platform Engineer at Atlan, Nov 2025 \- Apr 2026 · 6 mos, Engineered AI\-native workflow analytics and observability pipelines to automatically triage complex query and workflow failures, cutting MTTR by 47% through proactive anomaly detection, alerting, and structured root\-cause reports\. Built and maintained distributed workflow orchestration features leveraging Temporal, Argo Workflows, and Java\-based services, improving reliability and horizontal scalability of large\-scale data and analytics pipelines serving enterprise\-scale tenants\. Developed a self\-healing workflow mechanism with automated recovery actions on P99 latency breaches and vital metric violations, eliminating an entire class of on\-call escalations and reducing incident volume by ∼60%\. Architected an Agentic Issue\-to\-PR Resolution System using a sandboxed context layer with the Claude Code SDK, autonomously triaging customer issues and shipping fix PRs end\-to\-end—slashing TTR from 30 hours to 5 hours \(83% reduction\)\. Partnered with internal and external customers to debug production incidents in distributed runtimes; fed learnings back into design documents and PRs, driving continuous platform improvement\.

Google Summer of Code'25 @Keploy at Google Summer of Code, Jun 2025 \- Sep 2025 · 4 mos, Bengaluru, &gt; Built an open\-source LLM\-powered code review platform for Golang &amp; JavaScript, boosting developer productivity and code quality\. &gt; Designed and deployed a CI/CD pipeline \(GitHub Actions\) delivering 100% automated static code reviews, cutting review time from hours to minutes\. &gt; Benchmarked multiple open\-source LLMs, selecting models with the best accuracy, latency, and context fit, improving review precision\. &gt; Reduced response latency by 300% with optimized chunking algorithms &amp; GitHub\-hosted models, enabling multi\-file handling at scale\. &gt; Deployed quantized GGUF models, halving memory usage and cutting inference time by 100%, while maintaining accuracy\.

AI Engineer \(C4GT\) at OpenNyAI, Jun 2025 \- Sep 2025 · 4 mos, Bengaluru, Karnataka, India, • Contributed to the OpenNyAI initiative under C4GT, focusing on AI solutions for public sector applications in India\. • Designed and implemented machine learning pipelines for legal document understanding and question\-answering tasks\. • Enhanced NLP models for multilingual support, improving accessibility across various Indian languages\. • Collaborated with a cross\-functional team to integrate open\-source AI tools for governance use cases\.

SDE Intern'24 @eGov Foundation at Code for GovTech \(C4GT\), Jun 2024 \- Sep 2024 · 4 mos, 1\. Developed Reusable packages to improve the micro service architecture of products\. 2\. Integrated VoiceEnable feature in those reusable packages to improve their accessibility\. 3\. Reduce the Data inconsistency in the BLoC structure of the packages\. 4\. Tested multiple OpenSource Speech Recognition models to understand which will work better with the package 5\. Worked with Android platform APIs especially with the speech APIs to reduce the latency

OpenSource Contributor @C4GT at Code for GovTech \(C4GT\), May 2024 \- Sep 2024 · 5 mos, Remote

Senior Coordinator at Blockchain Research Lab, Mar 2024 \- Sep 2025 · 1 yr 7 mos

App Developer at Blockchain Research Lab, Dec 2023 \- Jul 2024 · 8 mos, Developed two main applications for the college that are in production and deployed 1\. Visitor Entry App Developed an application that played an important role in transformation of Visitor entry management from paper books to digital diary This app includes registration of users through their address proof that get extracted automatically by scanning it and clicking their image that create their special ticket printed by thermal printer as a ticket of their presence in campus and when they exit the campus they need to re scan the code on their ticket and they are marked exit\. 2\. An app for the Cultural society of college Developed an application that is focused to remove the registration process through Google forms and align it with the theme of society that brings a unique cluster of features which includes:\- 1\. Registration of user with the app that generates a ticket with QR code for them that work as an entry ticket 2\. Artworks of society members uploaded and can be liked by people using this app 3\. Students appearing for recruitment drive of society can also upload their artworks in form of image and videos from the app 4\. In app notifications for letting people know what's next event is going to be or for letting them know abt their recruitment results 5\. List of Members along with their Social handles

## Education

Bachelor of Technology \- BTech, Computer Science, AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD

Intermediate, PCM with python, SR Global School

## Profile highlights

My proudest non\-work achievement: My girlfriend says I'll be Rohan Joshi in my 40s

The best product I’ve worked on…: Running a 8B parameter model in a android tablet doing local inference with mediapipe inference service , used by 2M MAU

What I'm currently working on: Agent platform for long running autonomous agent runs with inbuilt harness and playing with traces and evals

I'm the person in every team who…: Brings clarity my asking follow\-up questions in discussions and cadence

What's hard for others but easy for me…: Finding patterns

My hot take about working with AI is…: Feasibility of doing something is more important than possibility of doing something

My biggest achievement in college was…: I found a backdoor in college attendance system and used it till 7th sem and then I wrote a letter to dean and got 2k

The last shipped feature I'm proudest of…: Long running autonomous session agent on harness I built from scratch and now powering 2000\+ daily agent runs

The role I'd take a 20% pay cut for: Movie reviewer

The hardest problem I've personally solved\.\.\.: Chess engine without any dataset or ai or LLM API call Just pure alpha beta pruning algorithm : https://gaurav\.bar/thing

## Public links

- github: https://github\.com/EuclidStellar
- medium: https://medium\.com/@euclidstellar
- leetcode: https://leetcode\.com/euclidstellar
- codeforces: https://codeforces\.com/profile/euclidstellar

[View the original profile](https://tal.club/meet/gaurav-singh-9)

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