I enjoy building software and data solutions that improve research workflows, automate processes, and support evidence-based decision-making.
- π Building REVS (Research Enrollment and Verification System) β a biometric-enabled platform for participant enrollment, visit verification, audit trails, and study management in clinical research.
- π± Currently learning Clinical Trial Statistical Programming, CDISC Standards, SAS, and regulatory-compliant clinical data workflows.
- π» Developing modern applications using Django, React, React Native, and PostgreSQL.
- π Performing statistical analyses and data management using R, Python, and SQL.
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π₯ Data Officer at KEMRI-CCR PHRD
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π‘ Passionate about Health Informatics, Clinical Research Systems, and Data Science
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π€ Open to collaborations in:
- Clinical Research Technologies
- Statistical Programming
- Django Applications
- Open Source Projects
- Research Data Platforms
Python β’ R β’ SQL β’ JavaScript β’ TypeScript
Django β’ Django REST Framework β’ PostgreSQL
React β’ Redux Toolkit β’ React Query β’ Tailwind CSS β’ Bootstrap
R β’ Python β’ Power BI β’ SAS (Learning)
Git β’ GitHub β’ Linux β’ Docker β’ DVC
- Django Development
- React Applications
- PostgreSQL
- Data Management
- Clinical Research Data
- Statistical Analysis
- R Programming
- Python Programming
- Research Informatics
π Portfolio: https://tobuya.github.io/personal_portfolio/
I enjoy building software that bridges the gap between healthcare, research, and technology, transforming manual processes into secure, efficient, and scalable digital systems.


