---
title: "Sri Pardha Chidella - Software Engineer Ill - Play Games Discovery in Bengaluru | Tal"
description: "Meet Sri Pardha Chidella, SWE III @ Google | Ex - QR Associate JPMC | Ex - Harness, Adobe | CS @ BITS Goa based in Bengaluru. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/sri-pardha-chidella/share-image"
---

# Sri Pardha Chidella on Tal

## Headline

SWE III @ Google \| Ex \- QR Associate JPMC \| Ex \- Harness, Adobe \| CS @ BITS Goa

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

codex

gemini

mcp

## Work experience

Software Engineer Ill \- Play Games Discovery at Google, Jun 2026 \- Present · 5 mos, Bengaluru, Karnataka, India, • Worked on client\-side development of the user\-feedback pipelines \(ratings, preference edits, surveys\) that feed an LLM\-generated gaming persona and recommendation system, spanning reactive Android client flows, gRPC contracts, and telemetry\. • Engineered a review\-gated dark\-factory pipeline by distilling resolution patterns from 35\+ QA bugs \(10\+ P0\) deployed as a daily sidecar, triaging 20\+ bugs across 7 engineers in 2 weeks drafting on\-device auto\-verified fixes and cutting hands\-on triage\-to\-fix time from ∼5 hours to ∼20 minutes per bug\. • Authored portable agent skills that auto\-fix Kotlin/Compose and Protobuf code against team style guides and recurring reviewer feedback before upload, cutting inline review comments ∼80% per line over 64 changes\.

Software Engineer III \- Google Cloud NetApp Volumes at Google, Jul 2024 \- May 2026 · 1 yr 11 mos, Bengaluru, Karnataka, India, • Shipped GCNV’s autonomous oncall agent \(Gemini, Google ADK, A2A\), automating the team’s first\-pass oncall — RCA from cross\-service logs, priority, duplicate detection, and mitigation steps — on ∼400 bugs/week within 5 minutes of filing, saving an estimated 60% of oncall triage time\. • Prototyped a multi\-agent failure analyzer for an e2e CI grid of 100\+ tests and redesigned it with an orchestrator and per\-shard summarization agents to fit the logs within LLM context limits\. • Launched Ask GCNV, a RAG assistant built on NotebookLM and grounded in team design docs and runbooks, cutting documentation lookup time ∼20%\. • Led design and launch of on\-prem\-to\-cloud migration \(30\+ enterprise customers, 40\+ PB managed\) and FlexCache caching \(10\+ new customers\) for GCNV\. • Architected an On\-Premise\-to\-Cloud migration solution, successfully onboarding 30\+ enterprise clients and enabling the migration of 5 PiBs of storage while managing 40 PiB of customer data\. • Led the end\-to\-end design and development of FlexCache, a cloud\-caching feature that attracted 10\+ new enterprise customers and expanded their GCP footprint by multiple PiBs of storage\.

Sr Software Developer / Quant Research Associate at JPMorgan Chase & Co\., Feb 2024 \- Jul 2024 · 6 mos, Mumbai, Maharashtra, India, ○ Developed ML\-driven infrastructure using the NOVA framework for forecasting capital analysis, saving the firm approximately $1 billion dollars every year\. ○ Architected and implemented Batch 2\.0, a schema\-agnostic platform architecture, streamlining data consumption and reducing production issues by 30% while improving performance by 100%\. ○ Created and maintained CI/CD pipelines using Jules based on Jenkins for error\-free deployment

Software Developer / Quant Research Analyst at JPMorgan Chase & Co\., Jul 2021 \- Jan 2024 · 2 yrs 7 mos, Mumbai, Maharashtra, India

Software Engineer Intern at Harness, Jan 2021 \- Jul 2021 · 7 mos, India, ○ Added continuous deployment support for GCP using Java and DropWizard framework, increasing customer engagement by 20%\. ○ Developed backend microservices using SpringBoot, GraphQL, and MongoDB for database management\.

Teaching Assistant at Birla Institute of Technology and Science, Pilani, Aug 2020 \- Dec 2020 · 5 mos, Goa, India, Teaching Assistant in Neural Networks and Fuzzy Logic

Product Intern at Adobe, May 2020 \- Jul 2020 · 3 mos, Noida, Uttar Pradesh, India, ○ Designed and built a full\-stack deep learning search engine to recommend Creative Cloud applications from natural language user queries, achieving 97% test accuracy\. ○ Developed a Flask\-based REST API for the backend and a responsive UI with JavaScript, HTML, and CSS\.

## Education

Bachelor of Engineering \- BE, Computer Science, Birla Institute of Technology and Science, Pilani \- Goa Campus

amity University

[View the original profile](https://tal.club/meet/sri-pardha-chidella)

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