Summary
Rahul Garg is an engineering manager and former CTO with nine years of experience building cloud-native, AI-infused platforms and scalable microservices across startups and product companies including Amazon, Qualcomm, and MobiKwik. He blends full-stack engineering (Java/Python/Node.js/React) with DevOps and data systems expertise—Kafka, ETL pipelines, Docker/Kubernetes and ML productionization—to deliver real-time, resilient systems. At DarkHorse and Erapid he led cross-functional teams to ship AI-powered products and architectural roadmaps, while mentoring over 1,000 students through Scaler and Coding Blocks. A repeat hackathon winner, patent co-inventor and published researcher in recommendation systems, he pairs hands-on coding with strategic product thinking. Based in New Delhi, he brings a practical bias for production-ready ML and developer enablement that’s informed by both enterprise and startup execution.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology B.Tech in Computer Science & Engineering, Bachelor of Technology B.Tech in Computer Science & Engineering at Maharaja Agrasen Institute Of Technology, Delhi
Senior Secondary, Senior Secondary at Central Board of Secondary Education
English, Hindi