Adnan Sadik

Mathematics and Computer Science undergraduate at KAIST (Korea Advanced Institute of Science and Technology), expected new grad 2027. Two-time bronze medalist at the International Mathematical Olympiad (2020, 2021) representing Bangladesh. Research and internship experience spans LLM inference optimization (Huawei Theory Lab), applied ML and time-series/pricing models (HayanMind), and biomedical ML (IBS Biomedical Mathematics Group under Prof. Jae Kyoung Kim). Co-author of the BLUCK benchmark paper accepted to the AACL-IJCNLP 2025 workshop. States interest in quantitative finance and is seeking quant finance / AI-ML roles.

Notes13

• Quant employment verification: NOT CONFIRMED. No primary or indexed source shows Adnan Sadik holding a quant/trading/market-making role or internship. The only quant-adjacent employment lead, 'Discover Citadel | Citadel Securities' (Mar 2025), is a student insight/branding program in which he placed 1st in its Trading and Quant challenges, not paid employment; his GitHub quant-flavoured work (volatility inference with SDEs, Crypto-SignalCraft) is a personal project, not a job. His actual roles are ML/research internships (HayanMind, Huawei Theory Lab, IBS Biomedical Mathematics, KAIST labs) and gigs (Art of Problem Solving grader, Mercor contract). Identity is supported (LinkedIn + personal site + GitHub + IMO record), so the finding reflects absence of quant employment rather than unresolved identity.Mar 1, 2025
• Two-time IMO bronze medalist representing Bangladesh (2020 and 2021); his contestant record is on the official IMO results database (contestant 30390).Jul 1, 2021
• HayanMind Machine Learning Engineer Intern, Jun-Aug 2026, Seoul: built dynamic-pricing models with Transformer-based sequential architectures and Hawkes-process rare-event modeling for purchase prediction. Pricing/time-series modeling, but at an AI/edtech company, not a trading firm, so it does not satisfy the quant-employment bar.Jun 1, 2026
• Research & Software Intern at Huawei Theory Lab, Hong Kong SAR, Dec 2025-Mar 2026: LLM inference algorithms and optimal cache management for hybrid attention-Mamba architectures, in C++ and CUDA. A systems/ML-infra role at a telecoms/tech giant, not a quant finance employer.Dec 1, 2025
• Co-authored the BLUCK paper on a cultural benchmark for low-resource languages (Banglalp workshop, ACL Anthology 2025), a peer-reviewed publication listed against this identity.May 1, 2025
• Placed 1st in both the Trading Challenge and the Quant Challenge at Discover Citadel (Mar 2025); these are competition standings within a student insight program and do not constitute a quant job or internship.Mar 1, 2025
• GitHub account 'yayme' hosts the CUDA-kernel project (Longformer-style sparse attention CUDA kernel with Flash-Attention online softmax, reported 1.8x speedup and O(1) memory), indicating low-level GPU systems work.Jan 1, 2025
• Authored 'Volatility Inference with SDEs & Data Assimilation': estimated crypto rolling volatility with a mean-reverting SDE and online Bayesian filtering, benchmarked against GARCH(1,1)/(2,2) - a self-directed quant-finance-adjacent project, not employment.Jan 1, 2025
• Machine Learning Research Intern at the IBS Biomedical Mathematics Group, Dec 2024-Jun 2025 (supervisor Prof. Jae Kyoung Kim): deep-learning pipelines for sleep-disorder classification and theory on stochastic delay in birth-death processes. Appears on the lab's member list.Dec 1, 2024
• Won the Jane Street Prize at the Simon Marais Mathematics Competition (Dec 2024) - a mathematics competition prize, not an employment relationship with Jane Street.Dec 1, 2024
• Undergraduate researcher on the ChatGPT Voices project in KAIST's Users & Information Lab, Aug-Dec 2024: contributed a cultural benchmark dataset for low-resource languages, co-authoring the BLUCK paper.Aug 1, 2024
• Double-majoring in Mathematical Sciences and Computer Science at KAIST (Korea Advanced Institute of Science and Technology); expected graduation 2027.Mar 1, 2023