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Mehrshad Mirmohammadi

M.Sc. CS @ ETH Zürich | Ex-Jane Street | IOI Silver Medalist
Jane Street · Zürich, Zürich, Schweiz · engineer
IOI 2019 Silver Medal For IranCodeforces Grandmaster (MAMBA)Quantitative Research Intern At Jane Street (2025)Co-author, 'Toward Reliable Human Pose Forecasting With Uncertainty' (CVPR 2023 Workshop)Research Roles At EPFL VITA, ETH Zürich CV/AIT Labs, And INSAIT

I am a computer science enthusiast with a B.Sc. degree in Computer Science, currently pursuing a Master's in Computer Science at ETH Zurich. My primary focus lies in Machine Learning, where I have contributed to numerous projects and research initiatives. I am also a Grandmaster on Codeforces and a Silver Medalist at the International Olympiad in Informatics (IOI), experiences that have sharpened my problem-solving skills.<br><br>Driven by a passion for curiosity and innovation, I aim to delve deeper into research at the intersection of mathematics and large language models (LLMs). My journey so far has fostered a strong technical foundation and an eagerness to collaborate with like-minded professionals to create cutting-edge solutions.<br><br>Let's connect and explore how we can work together to push the boundaries of technology and research.

Mehrshad Mirmohammadi (full name Seyyed Mehrshad Mirmohammadi) is a computer scientist from Iran. He won a silver medal for Iran at the International Olympiad in Informatics (IOI) 2019 and is a Codeforces Grandmaster (handle MAMBA). He earned a B.Sc. in Computer Engineering from Sharif University of Technology (2019-2024) and is pursuing an M.Sc. in Computer Science at ETH Zürich. His research spans computer vision (3D human/object reconstruction, human pose forecasting) and machine learning for code and reasoning, with publications including 'Toward Reliable Human Pose Forecasting with Uncertainty'. He has held research roles at EPFL, ETH Zürich and INSAIT, and in 2025 was a Quantitative Research Intern at Jane Street. He is listed as a Machine Learning Engineer at a stealth AI startup (index-sourced).

Details
LocationZürich, Zürich, Schweiz
Computer VisionLLM reasoningAI for structured languages (programming code, mathematical proofs)Deep learning research
Notes
  • Quant employment verification: CONFIRMED. The subject held an actual Quantitative Research Internship at Jane Street (London), 2025 (Jul-Sep per caller lead), confirmed by his own public LinkedIn post announcing 'I'm happy to share that I'm starting a new position as a Quantitative Research Intern at Jane Street!'. Jane Street is an established quantitative proprietary trading firm/market maker, so the employer classification as quantitative finance is independently supportable. Identity is supported: the profile (LinkedIn username mmirmohammadi, headline 'M.Sc. CS @ ETH Zürich | Ex-Jane Street | IOI Silver Medalist') links to a personal site (mmirmohammadi.github.io, GitHub owner mMirmohammadi) that states Sharif CE undergrad and IOI silver, matching the IOI stats page for Seyyed Mehrshad Mirmohammadi (Iran, IOI 2019 silver, Codeforces MAMBA). A second, self-reported 'Quantitative Research Intern' period at an 'Undisclosed Hedge Fund' (2024) is index-only and cannot be independently verified or classification-confirmed.Jul 2025
  • Identity resolved across sources: IOI stats (Seyyed Mehrshad Mirmohammadi, Iranian), personal site (mmirmohammadi.github.io, Sharif CE undergrad, IOI silver), GitHub (mMirmohammadi, owns the site repo), and LinkedIn (mmirmohammadi, 'Ex-Jane Street | IOI Silver Medalist', M.Sc. CS @ ETH Zürich) form a corroborating loop on name + Sharif + IOI silver + ETH.Oct 2023
  • Seyyed Mehrshad Mirmohammadi won a Silver medal for Iran at the International Olympiad in Informatics (IOI) 2019, ranked 36th (cphof); the IOI stats page lists him as Contestant with Codeforces handle MAMBA.Aug 2019
  • Machine Learning Engineer at a stealth AI startup (zone listed as Palo Alto), 2025-2026, per index-sourced LinkedIn; described as building reasoning-centric LLMs for hardware design (post-training RL/SFT, test-time compute, agentic workflows with formal verification). Index-only claim; company unnamed, so no independent confirmation.2025
  • Education: B.Sc. in Computer Engineering, Sharif University of Technology (2019-2024); M.Sc. in Computer Science, ETH Zürich (from 2024); high school diploma from Salam high school; attended the Young Scholars Club IOI preparation camp (2018-2019). Source is the index-sourced LinkedIn profile and personal site, not independent primary confirmation.2024
  • The 'Quantitative Research Intern at Undisclosed Hedge Fund' entry (2024) is index-sourced and self-reported with no company name; it cannot be independently verified and the employer's status as a genuine hedge fund cannot be confirmed, so it is excluded from the CONFIRMED determination.2024
  • Publications include 'Toward Reliable Human Pose Forecasting with Uncertainty' (arXiv 2304.06707; CVPR 2023 workshop track), with a later 2024 revision; co-authors include Saeed Saadatnejad, Matin Daghyani, Parham Saremi and Alexandre Alahi - the EPFL VITA lab lineage of his 2021-2022 research role.Apr 2023
  • Personal research site states interests in computer vision, LLM reasoning, and AI for structured languages (programming code, mathematical proofs) - direction consistent with his later ML-engineer role building reasoning LLMs for hardware/formal verification.Oct 2023
  • Research Intern at INSAIT (Sofia, Bulgaria) in 2023 on AI safety / robust neural networks against adversarial attacks, supervised by Dimitar I. Dimitrov, Mark Niklas Müller and Prof. Martin Vechev; an INSAIT page announces him among accepted Summer Undergraduate Research Fellowship (SURF) students, part of the same institute whose SRI-SafeAI group sits under Martin Vechev.2023
  • Research Intern at ETH Zürich (2022-2023) with the CV Lab and AIT Lab on 3D reconstruction of humans and objects from single images, supervised by Dr. Xi Wang, Dr. Yen-Ling Kuo, Prof. Otmar Hilliges and Prof. Luc Van Gool; corroborated by Yen-Ling Kuo's CV listing him as an 'Undergrad Intern, ETH Zürich' in 2022.2022
  • Research Assistant at EPFL VITA lab (2021-2022) under Saeed Saadatnejad and Prof. Alexandre Alahi, improving human pose prediction with uncertainty-aware models; index-sourced LinkedIn role.2021
  • Codeforces Grandmaster (handle MAMBA), self-stated in his LinkedIn summary; codeforces.com/profile/MAMBA is linked from his IOI stats entry.

Competition record

Iran · IOI

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