Muhammadjon Boboev

Muhammadjon Boboev is a computer-vision and AI engineer from Tajikistan. He earned a B.S. (2017-2021) and an M.S. (2022-2024) in Computer Science and Engineering at UNIST in Ulsan, South Korea, and was a member of the UNIST Vision and Learning Lab advised by Seungryul Baek. His industry path is deep-learning research and computer vision: a deep-learning engineering internship at Mobilint (2021), a computer-vision research engineer role at AR24.7 building LiDAR-based detection for autonomous robots (2022), an AI researcher / full-stack engineer role at AKA AI working on audio generation and dubbing (2024-2025), and, from 2026, an AI engineer at DeltaX in Seoul developing in-cabin driver monitoring, gaze estimation and 3D vision. He co-authored papers at WACV and AAAI. Representing Tajikistan he earned an Honourable Mention at IMO 2016 and a Bronze medal at IMO 2017. No role in quantitative finance, trading or market-making was found.

Notes6

• Quant employment verification: NOT CONFIRMED. No quantitative-finance, trading, market-making, hedge-fund or systematic-trading role or internship appears anywhere in his verified history. His employer DeltaX (deltax.ai) is a South Korean AI company building in-cabin driver-monitoring and gaze/3D vision systems, not a trading firm. The ClickHouse employer-classification lead conflated homonyms: its algorithmic-trading description and @deltax.co.in contact domain belong to a different entity (deltax.co.in, India), not the person's employer. His full timeline (Mobilint AI-semiconductor intern, AR24.7 autonomous-robot CV engineer, UNIST research assistant, AKA AI audio-AI researcher, DeltaX vision AI) contains no quant-finance role.Sep 17, 2026
• Employer homonym resolved: his LinkedIn experience lists DeltaX with domain deltax.ai, a Seoul AI company (in-cabin driver monitoring, gaze estimation); the ClickHouse index's DeltaX record carried the algorithmic-trading blurb and deltax.co.in domain, so the index entry and the person's employer are different companies sharing a name.Sep 17, 2026
• AI Engineer at DeltaX (deltax.ai), Seoul, from 2026, developing and deploying real-time AI for in-cabin driver monitoring with a focus on gaze estimation and 3D geometric understanding; owns the full pipeline.Jan 1, 2026
• Identity verified across IMO, LinkedIn and personal site: same Muhammadjon Boboev, Tajikistan IMO 2016/2017, UNIST M.S. 2022-2024; his site, LinkedIn and the IMO contestant page agree on the name, Tajikistan IMO participation, and UNIST education.Jul 1, 2017
• Published contact details on his own site: official email [contact omitted] and personal email [contact omitted].Sep 17, 2026
• Junior Full Stack Engineer / AI Researcher at AKA AI, Seoul, Nov 2024-2025, building deep-learning Foley audio generation and an AI dubbing system that preserves speaker voice (audio AI, not finance).Nov 1, 2024
• Peer-reviewed publications: WACV 2024 (RMFER, semi-supervised contrastive learning for facial-expression recognition), WACV 2023 (image-free domain generalisation for 3D hand pose), AAAI (QORT-Former), and JKAIA 2022 (multispectral pedestrian detection review) - an academic computer-vision track alongside the industry roles.Jan 1, 2024
• Computer Vision Research Engineer at AR24.7, Mar-Aug 2022, building small/medium autonomous robotic vehicles and LiDAR-based 3D object detection for pedestrians and vehicles (robotics, not trading).Aug 1, 2022
• Mobilint deep-learning research engineer intern, Aug-Dec 2021, developing and accelerating state-of-the-art deep-learning models with HW/SW engineers (AI-semiconductor work, not finance).Dec 1, 2021
• IMO identity confirmed: representing Tajikistan, ranked 409 (32.2%) with 9 points and an Honourable Mention at IMO 2016, and ranked 188 (69.6%) with 17 points and a Bronze medal at IMO 2017.Jul 1, 2017
• His personal site is stale: it still describes AKA AI as his current employer, while LinkedIn/enrichment show DeltaX from 2026 - treat the site's 'currently' line as outdated.Sep 17, 2026
• Research Assistant at UNIST Vision and Learning Lab (UVLL), Sep 2022-Aug 2024, advised by Seungryul Baek; worked on language-guided 6-DoF vehicle pose estimation with CLIP and real-time RGB-T pedestrian detection.Aug 1, 2024