Summary
Sudhanva Narayana is a Machine Learning Engineer based in Cambridge with a decade of experience building production-grade ML infrastructure, cloud-native deployments, and backend systems for biotech, space-tech, and enterprise products. Currently at Montai Therapeutics, he partners with computational scientists to deliver reproducible ML models and maintain multi-environment CI/CD, experiment tracking, and GPU/CPU deployment resources. His background spans full-stack web development, MLOps, and platform engineering with hands-on expertise in Kubernetes, Terraform, Ray, TensorFlow/PyTorch, and multi-regional cloud cost optimization. At Pixxel he led teams that improved geospatial processing efficiency and automated end-to-end engineering workflows, saving significant compute costs and accelerating map rendering. A Northeastern MS in AI with prior research and teaching experience, he combines mentorship and technical writing with a practical focus on scaling systems and reducing repetitive work through automation. An often-overlooked strength is his track record of turning research and prototype work into fully automated, cost-effective production pipelines across diverse domains.
10 years of coding experience
5 years of employment as a software developer
Master of Computer Applications - MCA Data Science, Master of Computer Applications - MCA Data Science at PES University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Northeastern University
English, Kannada, Hindi