---
title: "Kamesh Rao Yeduvakula - Staff Software Engineer in Bengaluru | Tal"
description: "Meet Kamesh Rao Yeduvakula, Internet-scale Distributed Systems Architect @ Google · Uber · Amazon · Flipkart based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/kamesh-rao-yeduvakula/share-image"
---

# Kamesh Rao Yeduvakula on Tal

## Headline

Internet\-scale Distributed Systems Architect @ Google · Uber · Amazon · Flipkart

## About

Architect of internet\-scale distributed systems across the full stack — from real\-time bidding platforms processing 60B\+ daily requests and 200B\+ event streaming pipelines, to WebRTC live class infrastructure and AI\-ops platforms — with 20 years of proven delivery at Amazon, Google, Uber, and Flipkart\. SUMMARY • Technical Leadership: Senior technical leader experienced in building and operating internet\-scale distributed systems, big data platforms, video streaming infrastructure and AI\-ops architectures across industry\-leading organizations\. • Organizational Transformation: Scaled engineering teams 50x \(5 to 250\+ engineers\) across Core, DevSecOps, Platform, QA, SRE & Data Science functions while establishing enterprise\-grade architecture, operational excellence frameworks and AI\-ops best practices that optimized cloud costs and LLM utilization company\-wide\. • Cross\-Domain Expertise: Deep technical knowledge spanning e\-commerce, cloud platforms, mobility, EdTech, advertising, security \(ZTNA\) & geospatial systems with rapid domain adaptation capabilities that enable immediate organizational value creation\. • Operational Excellence: Demonstrated ability to reduce MTTD/MTTR, improve system reliability and drive engineering culture transformation through systematic process improvement and automation\. SCALE & IMPACT HIGHLIGHTS 🚀 200B\+ events/day and 4\+TB/day of data processed via real time streaming systems ⚡ 1M\+ concurrent websocket connections on real\-time live class platforms\\ 🎯 60\+ billion requests/day, 30K\+ QPS on low\-latency high\-throughput services for 5B\+ USD Ad business 📈 400k\+ weekly active learners \(80x growth from 5k\) via engaging score\-improving learning experiences 👥 250\+ engineers led across multiple functions and disciplines 🎓 20\+ engineers mentored with proven career progression 💰 40% cloud cost optimization with strategic architecture optimization and replacing expensive 3P solutions ⚙️ Reduced MTTD and MTTR through operational initiatives, process improvements and RCAs TECHNICAL SKILLS Languages: Java, Golang, Rust, C\+\+, C\+\+11, C\# Big Data: Kafka, Flink, Spark, Airflow, Hadoop, BigQuery, Clickhouse, Elasticsearch, Iceberg Databases: Spanner, Cassandra, MySQL, DynamoDB, Redis, HFile, RocksDB, MongoDB Streaming/Media: WebRTC, MediaSoup, HLS, ffmpeg, gstreamer, Nginx RTMP server Architecture: Distributed Systems, Microservices, Streaming & Batch Big Data, LLMs, Disaster Recovery Cloud: AWS, GCP, ADK, gRPC, Kubernetes, Docker

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

gemini

geminicli

LM Studio

## Work experience

Staff Software Engineer at Google, Sep 2025 \- Present · 1 yr, Bangalore Urban

Principal Engineer at ALLEN Digital, Apr 2023 \- Sep 2025 · 2 yrs 6 mos, Bengaluru, • Platform Architecture: Bootstrapped complete LMS platform from scratch with 55\+ microservices and 5\+ databases supporting 20K RPS across practice, learning, and academic operations\. Architected comprehensive content delivery, learning management, assessment systems, AI\-powered LLM doubt resolution, content hosting infrastructure and resource management with granular attribute\-level authorization capabilities\. • Live Class Systems: Built horizontally scalable signaling platform supporting 1M\+ concurrent WebSocket and WebRTC connections from scratch, improving learner experience from 144p to 480p video quality on 3G networks \(720p on 4G networks\) through optimized streaming architecture\. • Data Infrastructure: Designed data pipeline processing 1B\+ events daily using Kafka, Clickhouse, and Spark, enabling 5\+ major student\-facing features\. Built a comprehensive data warehouse using Kafka Connect and Debezium to support analytics, business intelligence, growth optimization and engineering use cases\. • Real\-time Customer Data Platform: Built Audience Manager to generate real\-time insights on student behavioral data and recommend personalized next\-step actions, improving student engagement rates for both subscribed and freemium learners through data\-driven experience optimization\. • Engineering and Operational Excellence: Architected enterprise\-grade CI/CD infrastructure with integrated security scanning, automated quality gates and comprehensive monitoring that transformed development velocity while establishing a proactive incident management culture focused on prevention over reactive remediation\. • Cloud Cost Optimization: Delivered significant AWS cost reduction \(40%\) through strategic architecture optimization and development of in\-house platforms \(clickstream, data warehouse, WebRTC\) that replaced expensive third\-party solutions\. • AI Integration: Architected AI\-Ops platform with LLM gateway, MCP server integration and agent development framework\.

Software Engineer at Google, Nov 2020 \- Apr 2023 · 2 yrs 6 mos, Bengaluru, Karnataka, India, • Cloud Security Insights: Built insights platform capturing 125B\+ usage events \(3TB/day\) from 8\+ systems for CISO dashboard\. • AuthZaaS Policy Engine: Designed policy language spec and runtime for Authorization\-as\-a\-Service\. • License Enforcement: Built license enforcement system serving 22M\+ QPS without latency impact across complex high throughput GCP platforms like IAM, VPC\-SC, Chronicle and BCE\. • Leadership: Led teams of 2\-8 engineers, mentored 40\+ engineers across global organization\.

Staff Software Engineer at Uber, Sep 2019 \- Oct 2020 · 1 yr 2 mos, Bengaluru, Karnataka, India, • Cost Optimised Maps Diagnostics Platform: Architected diagnostics platform processing 70B events daily \(4\+TB data\) for Uber's maps and places platform to store and enable retrieval of the same via HFiles and API layer accessing HFiles to reduce Pinot infra costs\. • Real\-time ETA Platform for Uber Maps: Built dual telemetry platforms using Apache Flink joining 200B\+ event streams for ETA measurement accuracy improving the ETA prediction with faster reactive traffic model \(reaction within 30 minutes versus 24 hours previously\) reducing overall ETA error\.

Software Architect at Flipkart, Mar 2018 \- Aug 2019 · 1 yr 6 mos, Bengaluru Area, India, • Ordered Lossless Messaging Platform: Designed and delivered v2 distributed messaging system processing 100M\+ events/day while fixing the architecture flaws in the previous version to deal with ordered delivery and failure handling\. • Company\-wide BCP/DR Initiative: Contributed to business continuity and disaster recovery architecture\. Proposed and built change management tracking software and onboarded all services across the entire company\.

## Education

BE, Information Technology, nagpur university

High School, Computer Science, Modern school

## Public links

- github: https://github\.com/ykameshrao

[View the original profile](https://tal.club/meet/kamesh-rao-yeduvakula)

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