Mehrshad Mirmohammadi
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).
- 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.
Building reasoning-centric LLMs for hardware design: post-training (RL/SFT), test-time compute & tool use, agentic workflows integrated with formal verification (RTL/SVA).
Developed and benchmarked predictive models for trade execution (XGBoost, PyTorch) and optimized intraday risk management with time-varying hedge ratios. Built and backtested algor
• Working on Code Generation using Large Language Models.
Using Machine Learning algorithms for Stock Market Prediction and Ranking.
• Under the supervision of Dimitar I. Dimitrov, Mark Niklas Müller, and Prof. Dr. Martin Vechev. • Working on AI safety by designing robust Neural Networks against Adversarial Atta
• Under the supervision of Dr. Xi Wang, Dr. Yen‐Ling Kuo, Prof. Dr. Otmar Hilliges, and Prof. Dr. Luc Van Gool. • Worked on the 3D reconstruction of Humans and Objects from single
• Under the supervision of Saeed Saadatnejad and Prof. Dr. Alexandre Alahi. • Improved state‐of‐the‐art models on the task of Human Pose Prediction by integrating Uncertainty Aware
• Designed Algorithmic and Data Structure problems for Iran’s International Olympiad in Informatics (IOI) Team Selection Contests and Iranian National Olympiad in Informatics (INOI
Competition record
Iran · IOI