Hi, I'm Muhammadjon Boboev.

     I'm an AI researcher and engineer with a passion for vision and perception systems. My journey started with a deep love for math — I was a Math Olympiad student in high school, earning a Bronze medal at the International Mathematical Olympiad (IMO) and a national Gold in Tajikistan.

     I earned my B.S. in Computer Science and Mathematics from UNIST in 2021. After graduating, I interned at Mobilint as a Deep Learning Research Engineer and later worked at AR24.7 as a Computer Vision Engineer, developing LiDAR-based object detection systems for autonomous robots.

     In 2022, I returned to UNIST for a Master's degree, where I focused on 6DoF vehicle pose estimation using language supervision. During this time, I published research at WACV and AAAI. Currently, I work at AKA AI as a Junior AI Researcher and Full Stack Engineer, building AI-powered audio systems and deploying scalable AI solutions.

Education

• M.S. at Computer Science and Engineering (CSE), Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.

  • Advisor: Seungryul Baek 

  • Sep. 2022 ~ Aug. 2024.

• B.S. at Dept. of Computer Science and Engineering (CSE), UNIST, Ulsan, South Korea.

  • Sep. 2017 ~ Aug. 2021.

Publications

• Yunseong Cho, Chanwoo Kim, Hoseong Cho, Yunhoe Ku, Eunseo Kim, Boboev Muhammadjon, Joonseok Lee, Seungryul Baek. RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. 

• Elkhan Ismayilzada, Boboev Muhammadjon, Ji-hyun Kim, Jun-wook Cha, Mubarrat Chowdhury (UNIST), Joo-heon Hwang, Deok-hyeon Kim, Jin-woo Park (Hyundai Motor Company), Seung-ryeol Baek (UNIST). Automatic human mask generation algorithm using pose estimator and key object detector for efficient mask data collection. Summer Annual Conference of IEIE, 2023.

• Seongyeong Lee, Hansoo Park, Dong Uk Kim, Jihyeon Kim, Boboev Muhammadjon, Seungryul Baek. Image-free domain generalization via clip for 3d hand pose estimation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

• Boboev Muhammadjon, Siekny Hor, Eunseo Kim, Truong Nhat Nguyen Bao, Seungryul Baek "Multispectral Pedestrian Detection: A Literature Review", JKAIA, 2022.

Work Experience

• Junior Full Stack Engineer / AI Researcher, at AKA AI, Seoul, South Korea. 

  • • Nov 2024 ~ 

    • Foley Audio Generation:

Researched and developed a deep learning-based API to generate realistic audio for silent videos.

• • • AI-Powered Dubbing System:

Engineered a system that generates dubbed audio in a selected language given reference audio and text while preserving the speaker’s voice characteristics.

• • • Additionally, I handle full-stack development tasks, ensuring seamless integration and deployment of AI-driven solutions.

    • Skills: FastAPI · AWS (S3 / EC2) · GitHub & CI/CD · Remote Model Deployment · Audio-AI Pipelines

• • Research Assistant, at UNIST UVLL, Ulsan, South Korea. 

    • Sep 2022 ~ Aug 2024

    • Devised language-guided vehicle pose estimation that boosted keypoint and 6-DoF accuracy on ApolloCar3D using CLIP.

Developed a real-time RGB-T pedestrian detection model.

• • • Collaborated with lab members by assisting in academic writing, and conference submissions and completion of multiple research papers and projects.

    • Skills: 6DoF Pose Estimation · Vision-Language Models (CLIP) · Conference writing & submission 

• Computer Vision Research Engineer, at AR24.7, Seongnam, Gyeonggi, South Korea.

  • • Mar 2022 ~ Aug 2022

    • Developed small to medium-sized autonomous robotic vehicles. Collected and annotated 3D data from LiDAR sensors for object detection. Trained models to detect pedestrians and vehicles using LiDAR data.

    • Skills: LiDAR · Image Processing · 3D object detection · Computer Vision · 3D data

• • Deep Learning Engineer Intern at Mobilint, Seoul, South Korea.

    • 1. Aug. 2021 ~ Dec. 2021.

      2. Research, implement, and develop state-of-the-art deep learning models, theories, and technologies. Collaborate with HW/SW engineers to accelerate AI algorithms.

      3. Skills: Deep Learning · Convolutional Neural Networks (CNN) · Generative Modeling

Projects

• TurtleBot

• Multispectrial Pedestrian Detection

Teaching Assistant

• 2022  CSE472 Computer Vision.

• 2023 ITP117 Introduction to AI Programming 1&2, Discrete Math, Theory of Computation.

Honors and Awards

• Lotte International Student Scholarship for Outstanding Talents 2022

• Bronze Medal, International Mathematical Olympiad, Brazil 2017 (IMO 2017)

• Honorable Mention, International Mathematical Olympiad, Hong Kong 2016 (IMO 2016)

• Gold Medal, Tajikistan National Math Olympiad 2017

• Languages: Tajik (Native), English (Procient), Turkish (Intermediate), Russian (Intermediate), Korean (Beginner)