Kamesh Rao Yeduvakula

About Kamesh Rao Yeduvakula

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 RCAsTECHNICAL SKILLSLanguages: Java, Golang, Rust, C++, C++11, C#Big Data: Kafka, Flink, Spark, Airflow, Hadoop, BigQuery, Clickhouse, Elasticsearch, IcebergDatabases: Spanner, Cassandra, MySQL, DynamoDB, Redis, HFile, RocksDB, MongoDBStreaming/Media: WebRTC, MediaSoup, HLS, ffmpeg, gstreamer, Nginx RTMP serverArchitecture: Distributed Systems, Microservices, Streaming & Batch Big Data, LLMs, Disaster RecoveryCloud: AWS, GCP, ADK, gRPC, Kubernetes, Docker

Experience

1. Staff Software Engineer

   Google

   Sep 2025 — Present

Education

• Modern School

  High School, Computer Science

  1997 — 2001

• Nagpur University

  BE, Information Technology

  2001 — 2005

Skills

• Android
• Geo Spatial
• Spring
• Oss / Bss
• Software Development
• Nosql
• Microsoft Azure
• Hadoop
• Servlets
• Product Management
• Scala
• Product Development
• Spring Framework
• Algorithms
• Mobile Applications
• Objective-C
• Machine Learning
• J2me
• Json
• Akka
• J2ee
• Css Javascript
• Html 5
• Ios Development
• Mongodb
• Agile
• Flash Media Server
• C++
• SEO
• Mysql
• Distributed Systems
• Big Data
• Clojure
• Workflow Design
• Jsp
• Jquery
• Web Applications
• Agile Methodologies
• Rest
• Ios