💼 Experiences

  • Recruit Co.,Ltd. (2024-04 - Present)
    Machine Learning Engineer, worked for recommender system.
  • Carnot Inc (2023-04 - 2024-03)
    Part-time Engineer, worked for LLM workflow application.
  • LINE Corp (2022-09 - 2023-04)
    Part-time Resarch Engineer, worked for comuter vision projects.(post)
  • GHELIA INC. (2020-05 - 2022-08)
    Part-time Research Engineer, worked for computer vision projects & reinforcement learning projects.

🎓 Education

  • Keio University (2022-04 - 2024-03)
    Master, Computer Science
  • Keio University (2018-04 - 2022-03)
    Bachelor, Computer Science

🏆 Awards

  • 1st Place Winner at Recsys Challenge 2025

  • 3rd Place Winner at Meta AI Video Similarity Challenge (CVPR 2023 workshop) (link)

  • Best Paper Award - HAI'22 (link)

📚 Publications

  • Hasegawa Rintaro, Yosuke Fukuchi, Kohei Okuoka, Michita Imai. “Advantage Mapping: Learning Operation Mapping for User-Preferred Manipulation by Extracting Scenes with Advantage Function.” Proceedings of the 10th International Conference on Human-Agent Interaction. Association for Computing Machinery, 2022. (Best paper award).
  • Sawada Yuki, Rintaro Hasegawa, Yuhi Nagatsuma, Shugo Takei, Kazuhito Yonekawa, and Hiromu Auchi. “Toward Universal User Representations: Contrastive Learning with Transformers and Embedding Ensembles.” In Proceedings of the Recommender Systems Challenge 2025, pp. 51-55. 2025.

📝 Blog Post