Haruta Watanabe (渡邉 朝太)
Software Engineer / Data Science Enthusiast
Summary
I am a law student with a strong interest in AI, data science, and software engineering.
I have been honing my programming skills through professional roles, successfully replacing legacy ERP systems, and developing full-stack applications.
My expertise includes building RESTful APIs, cross-platform mobile apps, and robust data validation systems. I am committed to leveraging my knowledge of Python, PostgreSQL, and machine learning principles to build scalable and efficient solutions.
Professional Experience
Wakyu Co., Ltd. (May 2024 – Present)
Software Engineer (Part-time)
- Spearheading the modernization of a legacy ERP system for a printing company using Python, Django, and PostgreSQL.
- Engineered functionalities for a healthcare asset tracking platform using Java and PostgreSQL.
- Developed a protocol management system for local government-related projects using JavaScript to ensure transparency.
Howtelevision, Inc.
Software Engineer (Intern/Part-time)
- Designed and implemented RESTful APIs using FastAPI, leveraging asynchronous programming to handle concurrent user requests efficiently.
- Utilized Python Type Hints and Pydantic within FastAPI to ensure robust data validation and reduce runtime errors in production.
Choco Next Year For Sure (Sole Proprietorship) (May 2025 – Present)
Founder & Lead Developer
- Founded a sole proprietorship and led a cross-functional team of developers to deliver full-stack solutions.
- Architected and deployed a cross-platform mobile application using Flutter and Firebase, managing the entire product lifecycle.:
- Developed high-performance web platforms using Astro and Tailwind CSS, optimizing for Core Web Vitals and SEO.
Educational Background
Chuo University | Tokyo, Japan
Bachelor of Laws (LL.B.) | Expected Mar 2028
GPA: 3.48/4.0 (Upward Trend: 3.61/4.0 in the most recent academic year)
The University of Tokyo, Matsuo Iwasawa Laboratory | Remote
GCI (Global Consumer Intelligence) Data Science Program | Mar 2026
- Completed intensive data science and machine learning curriculum using Python.
- Mastered predictive modeling and data analysis using NumPy, Pandas, and Scikit-learn.
Harvard University (via edX) | Remote
CS50x: Introduction to Computer Science | Jan 2026
- Validated foundational knowledge in Data Structures, Algorithms, and Memory Management.
- Completed complex problem sets in C, Python, SQL, and JavaScript.
Skills
- Programming Languages: Python (Proficient), Java, Dart, JavaScript, SQL (PostgreSQL), C, HTML/CSS
- Frameworks & Technologies: Django, FastAPI, Flutter, Firebase, Astro, Tailwind CSS, Node.js, NumPy, Pandas, Scikit-learn
- Tools & Platforms: Git, GitHub, GitLab, Linux (WSL), Docker, Google Cloud/Firebase
Get in Touch
Feel free to contact me regarding work offers or any questions you may have.
