Deep Kayal
Senior Applied Scientist at Erasmus MC
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDeep Kayal is a Senior Applied Scientist with 11 years of experience applying machine learning to real-world products, currently shaping discovery and personalization at Amazon in London. He holds a PhD in Machine Learning from Erasmus University and has deep hands-on expertise across NLP, recommender systems, self-supervised medical image segmentation and production ML pipelines. His background spans industry leaders (Prosus, Elsevier, Atradius, Nordea) and academic research, giving him a rare blend of product-focused engineering and rigorous research instincts. Notably, he has deployed LLM-driven educational tools like SQL and Python assistants and worked on image-based app-detection algorithms early in his career, demonstrating a knack for turning research into practical systems.
11 years of coding experience
9 years of employment as a software developer
MSc, Machine Learning and Data Mining, 3.94 / 5, MSc, Machine Learning and Data Mining, 3.94 / 5 at Aalto UniversityB.Tech, Electrical Engineering, 84.9, B.Tech, Electrical Engineering, 84.9 at National Institute of Technology RourkelaDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Erasmus University Rotterdam
English, DutchProgramming languages (1)
Github contributions (5)
DeepK/distance-embed
Apr 2020 - Apr 2021
Contributions:4 commits, 2 pushes in 1 year
DeepK/inpainting
Dec 2019 - Feb 2020
Contributions:13 commits in 2 months
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