ARAnar Rzayev
- Quant employment verification: NOT CONFIRMED. The only finance-adjacent employer lead, QuantCo (quantco.com), is a data-science, engineering and economics consulting company whose own site describes helping 'organizations turn data into decisions' - it does not operate as a quant fund, market-maker, or systematic/algorithmic trading firm, so the employer name alone does not establish quantitative-finance activity. The role held there (R&D Intern, Oct 2023-Feb 2024, Essen) was applied machine learning for MRI denoising for prostate cancer diagnosis, per the subject's own GitHub 'Previously' list, i.e. a medical-imaging data-science internship rather than a quant trading/research role. No past or present role at a quantitative investment, trading, market-making, hedge-fund, systematic-trading, bank, asset-manager, energy or crypto trading employer is supported by any source read.Sep 17, 2026
- Current role is Research Intern at the Institute of Science and Technology Austria (ISTA) in Vienna working on 'Cooking proteins with ML' in Alex Bronstein's group, focused on protein structure/dynamics via graph neural networks, diffusion models and inference-time guidance - a computational-biology ML trajectory, not quantitative finance.2025
- Identity confirmed as the Azerbaijan IMO contestant: Anar Rzayev, IMO 2017 (188th, 69.6%, bronze, 17 pts), IMO 2018 (413th, 30.6%, honourable mention, 8 pts), IMO 2019 (147th, 76.5%, bronze, 23 pts), all representing Azerbaijan; matches the LinkedIn/X selves describing 'Bronze medals @ IMO 2017, 2019'.Jul 2019
- Career timeline from the LinkedIn index (index-only claims): Machine Learning Engineer at XBrain Inc. (Seoul, 2021); Software Developer at R.I.S.K. Company (Baku, 2021, aircraft collision-risk model); Machine Learning Researcher at IBS Korea (Daejeon, 2021-2023, antibody design with geometric deep learning); Undergraduate Research Assistant at KAIST Data Science Lab (2022-2023, $3,500 URP grant); Software Engineer Intern at Datacrunch Global (2023, churn-prediction ML); TA for KAIST courses HSS328 and HSS405 (2022-2023); QuantCo R&D Intern (2023-2024); current Research Intern at IST Austria (2025-).2025
- LinkedIn (index-only, not independently confirmed) lists the QuantCo R&D Internship as Oct 2023-Feb 2024 in Essen, Germany; the GitHub self-description ties QuantCo to the 'Virdx' product line and MRI denoising, indicating the internship was on QuantCo's medical-imaging work and not a trading desk.Feb 2024
- Education: BSc double major in Mathematics and Computer Science at KAIST (2019-2025); exchange coursework in CS & Math at EPFL (2023); secondary schooling at Baku Private Turkish High School (2015-2019).2025
- GitHub account github.com/anar-rzayev self-describes the same profile and hosts KAIST course source materials (CS204 Discrete Mathematics, MAS473 AI with Mathematics, MAS365 Numerical Algorithms, CS492 ML for Computer Vision) plus an Empathetic-Dialogue-Generation NLP project - a teaching-materials and ML portfolio rather than a finance/trading codebase.2024
- X/Twitter handle @AnarSnowball is self-identified with the same bio as the LinkedIn/GitHub ('Cooking proteins with ML @ ISTA | Ex-Research student @ KAIST | Prev CS & MATH @ EPFL | Bronze medals @ IMO 2017, 2019'), confirming the account belongs to the subject; ~453 followers, low posting frequency.Dec 2024
- Awards are contest mathematics: two IMO bronze medals (2017, 2019) and one honourable mention (2018); the LinkedIn bio claims 'winner of 10 mathematical olympiads including 3 times at the International Mathematical Olympiad' (the IMO count/medals are corroborated by imo-official.org; the '10 olympiads' figure is self-reported and not independently enumerated here).Jul 2019
Cooking proteins with ML @ Alex Bronstein's Group
• Utilized a range of machine learning techniques, including Logistic Regression, Decision Trees, Random Forest, and XGBoost, to build a binary‑classification model for churn predi
Obtained a funding grant of $3,500 for an Undergraduate Research Program (URP) under the Data Science Lab Supervised by Ho Min Kim and Meeyoung Cha, my project focused on Contrasti
• Contributed to the research on antibody design methods using geometric deep learning for the development of next‑generation vaccines. • Applied natural language processing and gr
• Implemented multiple state‑of‑the‑art (SOTA) Object Detection models on the vehicle dataset of the company. • Designed various color classification algorithms for the automobile
Competition record
Azerbaijan · IMO