Anurag Singh Rana

About Anurag Singh Rana

It’s often said that if infrastructure is working perfectly, no one notices it. My career pivot showed me that\'s the greatest challenge—and the greatest reward.I spent 8 years with Google AI building high-impact NLP and ML features, like text generation, ranking, and summarisation. The stakes were high: user engagement, content quality, and product adoption.Today, my focus is equally high-stakes, but the challenges are fundamentally different. It\'s about ensuring the foundational systems—the ones that power everything—are resilient, efficient, and forward-looking.I lead teams dedicated to that mission.We tackle the invisible questions- How do you ensure global network resource allocation remains optimised by predicting and planning for traffic demand months and years ahead- How do you automate the datacenter infrastructure lifecycle—from installation to decommissioning—to minimize human error and maximize machine uptime?The complexity isn\'t just in the code; it’s in the resource strategy. From architecting Amazon Fulfillment logistics early in my career to building high-volume Yahoo! Search pipelines, the core lesson holds true: You must solve tomorrow\'s capacity problems today.This isn\'t just about technical leadership; it\'s about strategic risk management. We measure success in reliability percentages, cost efficiency, and the seamless ability to power the next generation of AI workloads without a hitch.Where do you find the biggest difference between technical execution and strategic leadership?#TechnicalLeadership #InfrastructureAsCode #EngineeringStrategy #SystemReliability #Google

Experience

1. Software Engineering Manager

   Google

   Aug 2021 — Present · Bengaluru, IN

   Leading a team of 25+ SWE, drove strategic technical direction for teams responsible for the software components managing the lifecycle of datacenter machines and hardware, directly supporting critical AI training workloads.Led key initiatives (20••••24) contributing to the development of global Network Resource Management systems, ensuring optimized resource allocation through long-term predictive capacity planning.Established a high-performing engineering culture focused on reliability and automation, utilizing human-assisted flows to increase the efficiency and stability of large-scale infrastructure operations.

Education

• International Institute of Information Technology Hyderabad (IIITH)

  BTech (BS), Computer Science and Engineering (Computer Vision)

  2003 — 2007

• The Daly College, Indore

  CBSE Class XII, English, Physics, Chemistry, Mathematics, Computer Science

  1991 — 2003

• Stanford University

  Graduate Certificate, Data Mining and Applications

Skills

• Json
• Algorithms
• C++
• Opengl
• Git
• Struts
• Php
• Computer Vision
• Java
• Python
• Machine Learning
• Linux
• Hadoop
• Google App Engine
• Perl
• Artificial Intelligence
• C
• Node.js
• Subversion
• Mysql
• Natural Language Understanding
• Eclipse
• Network Programming
• Javascript
• Weka
• Qt
• Ajax
• Android Development