Indraneel Ghosh is a software engineer with eight years of experience building large-scale cloud, ML and streaming systems, currently focused on model performance measurement and fleet reliability at AWS EC2 Nitro in Seattle. He has led Kubernetes- and HPC-focused efforts at Google to provision AI clusters at up to 30k nodes, improve GKE provisioning reliability, and optimize GPU utilization—work that reduced error rates and drove significant cost and operational gains. At Amazon he shipped high-impact features across Prime Video and miniTV, from low-latency ML-driven recommendations and video streaming optimizations to payment and monetization systems that materially increased ARR. He is an active open-source contributor with roots in Kubernetes and Cytoscape, and has applied competitive-programming rigor to algorithmic problem solving on GitHub. Colleagues recognize him for cross-organizational influence and operational excellence, earning multiple spot and peer awards for shipping NPIs. Beyond systems design, he combines a hands-on engineering approach with a knack for turning research-grade ML/TPU insights into production-grade, cost-efficient infrastructure.
8 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Secondary School, Secondary School at Apeejay School, Nerul
Senior Secondary School PCM with Electrical Maintenance, Senior Secondary School PCM with Electrical Maintenance at Pace Junior Science College, Nerul
This repository contains some useful codes, techniques, algorithms and problem solutions helpful in Competitive Coding.
Role in this project:
Full-stack Developer
Contributions:11 commits, 8 PRs, 10 comments in 1 month
Contributions summary:Indraneel primarily contributed to the repository by adding solutions to competitive coding problems, with a strong focus on number theory and algorithms. They implemented and provided solutions for problems, including Fibonacci-related computations. The user also documented and added comments to their code, emphasizing the time complexity of implemented algorithms.
Cluster Toolkit is an open-source software offered by Google Cloud which makes it easy for customers to deploy AI/ML and HPC environments on Google Cloud.
Contributions:3 PRs, 156 pushes, 108 branches in 5 months
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Indraneel Ghosh - Software Engineer at Amazon Web Services