Pratik Kayal
Machine Learning Engineer at Rabobank
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolPratik Kayal is a machine learning engineer based in Amsterdam with eight years of experience building research-driven ML solutions across startups, academia, and industry. He combines hands-on model development and deployment—most recently at Rabobank—with a research background as a Research Fellow at NYU Abu Dhabi, where his publications have earned over 400 citations. Comfortable leading small teams and taking ownership in fast-paced environments, he has applied ML to domains from video synthesis (Rephrase.ai) to agritech and plant disease detection. Pratik holds an MS in Artificial Intelligence from UvA and a BTech from IIT Gandhinagar, blending strong theoretical grounding with practical product instincts. An uncommon strength is his ability to translate algebraic and geometric ML research into pragmatic solutions, evidenced by cross-disciplinary projects and teaching roles.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Indian Institute of Technology GandhinagarMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at UvAHigher Secondary, Higher Secondary at Royal Global School
Github Skills (5)
drive4
google3
cli3
golang2
python1
Programming languages (3)
Github contributions (5)
pratikkayal/PlantDoc-Dataset
Sep 2019 - Jan 2020
Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
Contributions:5 commits, 4 pushes, 1 branch in 3 months
plantplant-diseasedatasetdiseasedisease-detection
pratikkayal/PlantDoc-Object-Detection-Dataset
Sep 2019 - Feb 2022
Contributions:4 commits, 2 pushes, 1 branch in 2 years 5 months
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