Humoyunbek Abdukarimov

Data Scientist @ HumbleBeeAI · Applied ML, Behavioral Biometrics & Fraud Detection · Incheon, South Korea

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Incheon, South Korea

abdukarimovhm@gmail.com

Hi, I’m Humoyunbek — a Data Scientist at HumbleBeeAI in Incheon, South Korea, where I build applied machine-learning systems around behavioral biometrics, fraud detection, and time-series & blockchain analytics.

Over the past couple of years at HumbleBeeAI I’ve grown from Data Analyst to Head of Data Science to Data Scientist — founding the data-science team, leading a group of seven, and shipping work like behavioral bot-detection pipelines (keystroke and mouse dynamics), on-chain fraud detection across Cronos and Ethereum, investor-churn prediction for fintech, and time-series forecasting for offshore engineering. I work mostly in Python, SQL, scikit-learn, LightGBM, and BigQuery.

I’m also an honours student in Integrated System Engineering at Inha University and a recipient of the Global Scholarship 2.

Outside of work, I like writing — you’ll find tech notes and life thoughts on the blog, and a bookshelf where I keep track of what I’m reading and what I made of it. Feel free to reach out.

news

Aug 28, 2026 Our paper “Training-Free Few-Shot Personalization for Mobile Mood Inference with TabPFN” was accepted to the DiversityOne Challenge Workshop at ACM UbiComp/ISWC 2026.

latest posts

selected publications

  1. Training-Free Few-Shot Personalization for Mobile Mood Inference with TabPFN
    Panyu Zhang, S. Shokulov, Humoyunbek Abdukarimov, and 3 more authors
    In DiversityOne Challenge Workshop, ACM International Joint Conference on Pervasive and Ubiquitous Computing and International Symposium on Wearable Computers (UbiComp/ISWC), 2026
    Accepted; to appear in the ACM Digital Library