Mekhron Bobokhonov
AI researcher and engineer with 3 years of experience building scalable, high-impact machine learning systems across LLM, RL and AGI-aligned research. Quick learner, hard worker, and ambitious.
Interests: Training/Optimizing/Debugging LLMs/RL, Startups, Entrepreneurship, Personal Growth/Finance.
Competitions: ARC-AGI 2 (Kaggle 2025) Top 2 - Gold Medal , ARC-AGI 1 (Kaggle 2024) Top 13/0.8% Gold Medal, IMC 2022 Gold Medal, IMC 2021 Silver Medal, IMO 2018 Bronze Medal.
AI Research Scientist
Giotto AI
Lausanne, Switzerland
• Researched and developed models with human-like abstraction and reasoning.
• One of the main contributors to a model achieving Top 2 out of 1,456 teams on ARC-AGI 2 (Kaggle 2025) with 27.08% vs. Top 1 at 27.64% (for the reference, GPT-5 Pro achieves 18.3% and Grok-4 16%).
• Led design of a test-time training framework boosting ARC-AGI-1 (Kaggle 2024) benchmark performance from 11% to 35% (+24 pts), contributing to Giotto.ai's Gold Medal, Top 0.8% globally (1,428 teams).
+Middle Machine Learning Engineer
Yandex
Remote
• Worked in the Special Search Projects team — an internal machine learning consultancy within Yandex.Search that helped other teams develop and deploy ML-driven solutions they couldn't build in-house.
• Enhanced user safety on Yandex.Search by developing and deploying NLP models to detect and filter harmful or sensitive content, achieving a 92% reduction in harmful material for suicide-related queries and significantly improving user trust and search experience.
• Built a high-performing autocomplete filtering model to detect and remove inappropriate or sensitive suggestions (e.g., related to drugs or self-harm), reaching 88% recall and 86% precision.
• Contributed to the design and implementation of a data collection pipeline for training a SearchGPT-style conversational AI model, enabling more natural, context-aware search interactions.
Master's degree in Data Science
EPFL
Lausanne, Switzerland
• During my master's studies, I took advanced courses in Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, and related topics.
• Conducted research projects in the field of Computer Vision to gain hands-on experience, focusing on unsupervised and open-vocabulary semantic segmentation.
• Completed my master's thesis at AXA Group Operations, where I worked on transferring state-of-the-art open-vocabulary segmentation models from the natural image domain to the aerial domain.
Data Science Intern
Yandex
Moscow, Russia
• Worked in the anti-fraud team of Yandex.Search.
• Developed and deployed bot-detection models that reduced automated traffic load on Yandex Search, improving system efficiency and resource utilization.
• The model successfully detected and prevented over 4 million robots in Yandex search.
Data Science Master's Program
Yandex School of Data Analysis
Moscow, Russia
• The most prestigious and selective Master's-level Machine Learning private study program in the post-Soviet region (3% acceptance rate — 129 students admitted out of 4,300 applicants).
• Coursework included: Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL), and related topics.
• Studied in parallel with my Bachelor's degree.
Bachelor of Applied Mathematics and Computer Science
Moscow Institute of Physics and Technology
Moscow, Russia
• The MIT of Russia. GPA: 4.77 / 5.0, Diploma with honours.
• Coursework included: Algorithms and Data Structures, Probability Theory and Statistics, Calculus, Linear Algebra, Topology, and Discrete Mathematics.