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Statistics | Mathematics | Quantitative finance | Machine learning

Adnan Sadik

Mathematics & Computer Science • KAIST

Mathematics and Computer Science student at KAIST.

Competitive Mathematics: Bronze medalist at IMO, APMO, National Olympiad in Informatics and winner at Simon Marais Math Competition (Jane Street Prize).

Expertise: Statistics, Mathematical problem solving, Data structures & algorithms. Research in data science, deep learning (CNN, LSTM, ResNet), mathematical modeling, and LLM inference optimization.

Experience: Published at AACL on evaluating LLMs in low-resource languages (KAIST Users & Information Lab). Samsung-collaborated IoT time series classification project. Stochastic process modeling and domain adaptation research (Institute for Basic Science). Currently exploring algorithmic policies in LLM inference management at Huawei.

Interests: Geometric and statistical understanding of data, time series AI, quantitative finance , online and offline learning, deep learning .

Currently looking for: Quantitative finance, AI/ML engineering and research-oriented roles.

If you'd like to discuss opportunities or learn more about my experience and skills, feel free to reach out.

Background animation reference: Voronoi diagram.