Summary
Prassanna Ravishankar is a Staff Software Engineer specializing in machine learning infrastructure with 11 years of experience building scalable ML platforms from research prototypes to production. Based in London, he has led cloud training stacks, serverless model serving migrations, and high-throughput data pipelines—scaling GPU fleets and cutting costs and training time significantly at companies like Papercup and Scale AI. His background spans computer vision research, probabilistic models and practical ML systems, giving him a rare blend of mathematical rigor and production engineering. Known for simplification and unification in code, he architects reproducible, observable platforms (ClearML, Skypilot, Beam/Dataflow) and has a track record of founding platform teams and hiring MLOps talent. Curious about blockchains and AI, he brings a cross-domain perspective that often surfaces creative integrations across disparate systems.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering (BE), Electronics and Communications Engineering, Bachelor of Engineering (BE), Electronics and Communications Engineering at Manipal Institute of Technology
Master of Science (MSc), Computer Vision, Master of Science (MSc), Computer Vision at The University of Sheffield
English, Hindi, Tamil, Telugu, Spanish