---
title: "Anshul Chaturvedi - Staff Software Engineer in Bengaluru | Tal"
description: "Meet Anshul Chaturvedi, Staff Software Engineer @ Google | Distributed Systems · Reliability & Observability · LLMs & Agents in Production based in Bengaluru. AI stack includes aistudio, antigravity, and claude code."
image: "https://tal.club/meet/anshul-chaturvedi/share-image"
---

# Anshul Chaturvedi on Tal

## Headline

Staff Software Engineer @ Google \| Distributed Systems · Reliability &amp; Observability · LLMs &amp; Agents in Production

## About

I'm a Staff Software Engineer \(L6\) at Google, working at the intersection of reliability, observability and LLMs/Agents in production\. At Google, I lead teams and platforms that keep Google Search and AI Mode — marquee consumer products used by billions — observable and reliable at scale\. My work spans high throughput real\-time monitoring infrastructure, LLM evaluation frameworks, and agentic systems that power feature development for AI Mode\. I believe the hardest unsolved problem in shipping LLM\-powered products isn't model quality, it's knowing when they're broken in production\. Traditional monitoring and observability breaks down when outputs are non\-deterministic and "correct" is subjective\. That's the problem space I work in\. If you're working on reliability and observability for AI systems, or thinking about what it takes to ship LLM\-powered products with confidence, I'd love to connect\.

## Location

Bengaluru

## AI stack

aistudio

antigravity

claude code

gemini

geminicli

obsidian

## Work experience

Staff Software Engineer at Google, Nov 2024 \- Present · 1 yr 10 mos, Bengaluru, Working on Search Platforms — building the infrastructure that keeps Google Search and AI Mode reliable and observable at scale\. \- Grew the Bangalore Search feature reliability team \(7 SWEs\), driving full ownership transition from the US org with zero service disruption\. \- Real\-time monitoring that catches user\-facing feature failures — processing \~200K events/s across Search and AI Mode, covering 250\+ features from 70\+ teams\. \- LLM evaluation frameworks that bring observability to non\-deterministic, prompt\-driven features where rule\-based monitoring isn't as effective\. \- A RAG based platform that generates semantically complex evaluation queries usually rare in production — used by 20\+ AI Mode teams across model training, evals, and prompt tuning\.

Senior Software Engineer at Google, May 2022 \- Nov 2024 · 2 yrs 7 mos, Bengaluru

Software Development Engineer II at Amazon, Jul 2020 \- Mar 2022 · 1 yr 9 mos, Bengaluru, Built the ad moderation platform that reviews 3M\+ ads daily — worked on on scalability, fairness across clients, and optimisation problems for the most efficient use limited human content reviewer capacity\.

Software Development Engineer III at InMobi, May 2020 \- Jul 2020 · 3 mos, Bengaluru, Karnataka, India

Software Development Engineer II at InMobi, Sep 2018 \- Apr 2020 · 1 yr 8 mos, Bengaluru, Karnataka, India, Built high\-throughput data infrastructure for InMobi's affiliate marketing platform — real\-time events ingestion, analytics pipelines and cloud infrastructure at scale\.

Software Engineer ll at FactSet, Nov 2016 \- Aug 2018 · 1 yr 10 mos, Hyderabad, Telangana, India

Software Engineer at FactSet, Jun 2015 \- Oct 2016 · 1 yr 5 mos, Hyderabad Area, India, Developed market analytics and reporting solutions within the FactSet ecosystem for portfolio managers\.

Software Development Intern at S&amp;P Capital IQ, May 2014 \- Jul 2014 · 3 mos, Gurgaon, India

## Education

Bachelor of Technology \(B\.Tech\.\), Computer Science, Visvesvaraya National Institute of Technology

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

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