Nilesh Patil

Head Of Artificial Intelligence at DreamStreet

Mumbai, Maharashtra, India
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Summary

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Nilesh Patil is a Head of Artificial Intelligence with 12 years of experience building production-grade AI systems, currently focused on full-stack solutions for Indian investors and traders. He progressed through research and applied science roles at Dream11 to senior principal research scientist before taking on his current leadership role at DreamStreet. His background blends rigorous academic training in data science from the University of Rochester with hands-on ML and statistical work across domains including bio-imaging, forecasting, predictive maintenance, and high-stakes industrial research. Nilesh has implemented end-to-end pipelines, uncertainty-aware deep learning, 3D reconstruction workflows, and scalable Spark/Python analytics, demonstrating both research depth and product delivery. Based in Mumbai, he combines a metals-and-materials engineering foundation from IIT Roorkee with a track record of translating complex scientific methods into practical, user-facing AI products. Notably, his career shows a repeated pattern of moving advanced research into production at scale in both healthcare and consumer-facing fintech contexts.
code12 years of coding experience
job12 years of employment as a software developer
bookIndian Institute of Technology Roorkee
bookMaster of Science (M.S.), Data Science, Master of Science (M.S.), Data Science at University of Rochester
languagesEnglish, Hindi, Marathi
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Github Skills (46)

hardware-designs10
data-quality10
data-science10
data-engineering10
machine-learning10
reinforcement-learning10
deep-learning10
electrical-engineering10
natural-language-processing10
computer-vision10
sveltekit9
tailwindcss9
huggingface9
typescript8
llm8

Programming languages (5)

JuliaTypeScriptHTMLJupyter NotebookPython

Github contributions (5)

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The Foundations of Computer Science XSeries, offered by the M.I.T. Department of Electrical Engineering and Computer Science, is a sequence of courses that introduce key concepts of computer science and computational thinking. Students apply these concepts and build their engineering skills by completing software and hardware design problems. Additionally, students test their understanding by taking a series of exams.
Contributions:17 commits, 6 pushes in 2 years 5 months
electrical-engineeringhardware-designs
Contributions:14 commits, 2 pushes, 2 branches in 2 months
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