Shubham Sahu is a software engineer with eight years of experience building scalable web and cloud-native systems, currently contributing at Google from San Francisco. He holds an MS in Computer Science from Stony Brook and has a track record of applying machine learning to real-world research problems—developing reinforcement-learning driven smart mirrors and materials-prediction models from microscopy data. Previously he accelerated container-to-AWS Fargate workflows and designed shareable Docker container systems that improved performance and multi-user efficiency. Comfortable across backend APIs, PWAs, and full-stack projects, he also drove measurable product impact (e.g., 83% performance gains, 160% SEO traffic uplift) in early-stage and academic settings. Colleagues will find him approachable and open to one-on-one conversations about his work and collaborations.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
H.S.C Science, H.S.C Science at Mithibai College
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
GCP Config Connector, a Kubernetes add-on for managing GCP resources
Contributions:59 pushes, 18 branches in 1 year 1 month
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