# Adnan Sadik
> Mathematics & Computer Science (Double Major) · KAIST
## Industry Experience
- - **HayanMind** — Machine Learning and Forward Deployed Engineer Intern Built dynamic pricing and rare-event purchase prediction models with Transformer-based sequential architectures and Hawkes processes. Tested domain adaptive deployment strategies.
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- **Huawei** — Research & Software Intern
- - Optimized inference for hybrid attention–Mamba LLMs
- - Token compression with the OpenZL framework
- - **Samsung Lifenology Lab** — Student Entrepreneur Led the Samsung Health × Wellness AI project, a multi-agent system that turns wellness guidance into personalized interventions members actually sustain.
## Research Experience
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- **IBS Biomedical Mathematics Lab** — Supervisor: Professor Jae Kyoung Kim
- - Deep learning models for sleep classification
- - Stochastic modeling for gene expression
- - **KAIST Users & Information Lab** — Supervisor: Professor Alice Oh Published at an AACL-IJCNLP 2025 workshop on evaluating LLMs in low-resource languages.
## Expertise
- - **Mathematics & statistics** — probability, statistical inference, stochastic processes, mathematical modeling
- - **Machine learning** — deep learning (Transformers, CNN, LSTM, ResNet), time-series models, LLM inference optimization, MLOps
- - **Engineering** — Python, C++, algorithms & data structures, systems optimization
## Interests
Applied AI, deep learning, mathematical modeling.
## Currently looking for
Roles in AI/ML and performance engineering, quant development, and applied AI.
## Competitions
- - Two-time bronze medalist at IMO and APMO; bronze medalist at the National Olympiad in Informatics
- - Jane Street Prize winner at the Simon Marais Mathematics Competition
- - 1st place in the Trading and Quant Challenges at Discover Citadel
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