Prassanna Ravishankar

Machine Learning Infrastructure Engineer at Scale AI

London, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Prassanna Ravishankar is a machine learning infrastructure engineer based in London, UK, with 11 years of experience delivering scalable AI platforms. He is currently at Scale AI building a GenAI infrastructure platform, and previously led ML cloud training and serverless model serving at Papercup, architecting a stack that grew from 16 to 50 GPUs and reduced idle costs by 90%. At Zenith Ai, he drove performance improvements—from faster docker builds to an async queue-based graph executor and a secure self-service ML app framework—accelerating molecular design optimization on AWS SageMaker. His early career fused applied research and computer vision, working on 3D geometry, gaze estimation, and object tracking, backed by an MSc in Computer Vision from The University of Sheffield and a BE in Electronics and Communications Engineering from Manipal Institute of Technology. He is driven by the pursuit of simplification and unification in code and AI, aiming to connect image processing, ML, and blockchain into practical, production-grade solutions.
code11 years of coding experience
job12 years of employment as a software developer
bookMaster of Science (MSc) Computer Vision, Master of Science (MSc) Computer Vision at The University of Sheffield
languagesEnglish, Hindi, Tamil, Telugu, Spanish
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Github Skills (200)

nlp10
data-science10
speech-recognition10
python10
bokeh10
tensorflow10
machine-learning10
speech10
gpu10
streamlit10
transformer10
data-visualization10
natural-language-processing10
fastest10
data-analysis10

Programming languages (15)

C#JavaC++CCMakeVueHTMLJupyter Notebook

Github contributions (5)

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Contributions:7 pushes, 2 branches in 5 years 8 months
Contributions:48 pushes, 6 branches in 3 years 3 months
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