Nekhil Nagia is a Software Engineer III based in Toronto with 10 years of experience building cloud-native and distributed systems, currently tech-leading a team on Google Kubernetes Engine to scale GKE for internal SaaS products. His background includes multiple roles at AWS working on RDS Aurora control planes and serverless infrastructure, plus hands-on ML and research experience from Square, Dessa, and a published IEEE conference paper on federated learning for WiFi fingerprinting. Comfortable across Java, Python, Kubernetes, TensorFlow and cloud platforms, he blends production-grade backend engineering with applied ML research. Notably, he has moved between research and large-scale product engineering, giving him a practical lens on deploying ML-infused systems at cloud scale.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at University of Toronto
Contributions:1 push, 1 branch in 3 years 3 months
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