Haruto Kitagawa
(北川 温人)

(070) 7562-3869· harutokitagawa8610@gmail.com

I am an engineering student with experience in programming and problem-solving, and I enjoy improving systems through practical and iterative work. I value collaboration, learning from feedback, and building solutions that are both useful and easy to understand.

Experience

Global Business Division Intern

ClaN Entertainment

Researched overseas Vtuber market cases and competitor activities, and created English presentation materials to support decision-making and team alignment.

March 2025 - Present

Volunteer Staff

Fukui Youth Center Sprout

Worked as a volunteer staff member supporting high school students through daily communication, program planning and operation, and basic facility tasks. Also developed a simple reception system as part of efforts to improve staff operations.

May 2025 - March 2026

Education

University of Fukui

Bachelor of Information Science
Faculty of Engineering Department of Electrical, Electronic and Computer Engineering,Electronic and Computer

GPA: ---

April 2025 - Present

Kantonsschule Enge, Switzerland

High School Exchange Program

Participated in a student exchange program in Switzerland.

August 2021 - July 2022

NITTC (Toyota KOSEN)

DEPARTMENT OF INFORMATION AND COMPUTER ENGINEERING

GPA: ---

April 2019 - March 2025

Qualifications & Skills

Qualifications
  • TOEIC L&R Score: 850
  • Japanese Driver’s License (Automatic Transmission Only)
Programming Languages & Tools
Technical Skills
  • C, Python, JavaScript, HTML, CSS
  • Git / GitHub
  • Google Apps Script
  • Basic system development and workflow improvement
  • English presentation materials and research support

Research

---

University of Fukui

My undergraduate research topic is currently undecided. I am interested in practical software applications, intelligent systems, ADAS, infotainment, image processing, and software reliability.

April 2025 - Present

JSL Handshape Recognition Using Pose Estimation and ML

NITTC (Toyota KOSEN)

My graduation research focused on recognizing Japanese Sign Language handshapes using MediaPipe-based pose estimation and machine learning. I collected and labeled handshape data, extracted hand-joint features, and developed a recognition model to evaluate its performance.

April 2024 - March 2025
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Slides