Subhaditya Mukherjee

AI Research Engineer at Eindhoven University of Technology

Amsterdam, North Holland, Netherlands
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Summary

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Subhaditya Mukherjee is an AI research engineer based in Amsterdam with nine years of experience applying machine learning to real-world problems and promoting open, reproducible research through his work with OpenML at TU Eindhoven. He holds a Master's in Artificial Intelligence from the University of Groningen and has a strong track record across academia, industry internships, and freelance projects—from building an AI dance teacher and real-time emotion recognizer to credit-scoring algorithms. Comfortable both teaching and shipping, he has extensive experience running workshops, mentoring students, and supporting courses in deep learning, uncertainty in ML, and cognitive robotics. His background includes hands-on data engineering, ETL and dashboarding from client-facing roles, giving him a practical appreciation for production constraints and stakeholder communication. Beyond code, he communicates complex ideas through writing for Medium and fosters community growth via student organizations and Google’s ExploreML program. A painter in his spare time, he brings a creative perspective to technical problem solving and a passion for making AI accessible.
code9 years of coding experience
job2 years of employment as a software developer
bookBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Vellore Institute of Technology
bookMasters, Artificial Intelligence, 8.5 - Thesis, Masters, Artificial Intelligence, 8.5 - Thesis at University of Groningen
bookGEMS Education
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Stackoverflow

Stats
86reputation
11kreached
4answers
4questions
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Github Skills (84)

python10
benchmarking10
openml10
meta-learning10
julia9
benchmark9
datasets9
optuna9
deep-learning9
pytorch9
machine-learning9
open-science9
groff9
flux9
documentation-generator9

Programming languages (10)

JuliaTypeScriptJavaC++CSSJavaScriptPHPHTML

Github contributions (5)

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utility-code/tinyDL

Mar 2021 - Apr 2021

Tiny, easy to understand deep learning library in Python. With GPU support and only in numpy :)
Contributions:45 commits, 4 PRs, 40 pushes in 1 month
deep-learninggpunumpypythoneasy-to-understand
SubhadityaMukherjee/DLPapers

Mar 2020 - Sep 2021

Deep learning paper notes
Contributions:43 commits, 42 pushes, 1 branch in 1 year 5 months
deep-learning
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