About
Full-stack developer with production experience in React, TypeScript, Express, Node.js, and Oracle Database. Also a data scientist with published scientific literature, proficient in Python and AI frameworks. Focused on implementation, system migration, and delivering production-ready features in enterprise environments.
Skilled in designing and maintaining web applications, integrating front-end and back-end services, automating internal workflows, and optimizing database performance. Experienced in coordinating bilingual, distributed teams and delivering complex features on schedule.
Professional Experience
- Migrated legacy enterprise systems from C# applications into modern React front ends wired to Node.js backends
- Implemented API-driven UI components using React + TypeScript for internal applications
- Built REST services in Node.js for automation, integration, and internal workflow tooling
- Developed and maintained backend APIs for transactional systems connected to Oracle Database
- Implemented authentication and role-based access control (RBAC) for secure user management
- Supported bilingual (Japanese/English) project environments and coordinated releases across distributed teams
- Optimized Oracle DB queries and API performance for production systems
- Delivered features through CI/CD pipelines, Docker, and GitHub Actions
- Participated in code reviews, technical documentation, and knowledge transfer sessions
Technical Stack
- Front end: React, TypeScript, Zustand, React Query, HTML/CSS
- Back end: Node.js (Express, NestJS), REST APIs, microservices
- Database: Oracle Database, SQL optimization, schema design, stored procedures
- Languages & AI: Python, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy
- Tooling & DevOps: Git, GitHub Actions, Docker, CI/CD pipelines, automated testing, logging
- Patterns & Practices: DTOs, RBAC, configuration-driven workflows, API-first development, modular architecture
Architecture & Systems Experience
- React → Node.js API → Oracle DB: Migration of legacy enterprise systems to modern web front ends
- React → Node.js services → internal APIs: Integration of migrated systems and internal workflow automation
- Authentication & RBAC flows: Secure front-end access integrated with back-end validation and API enforcement
- Workflow automation systems: Node.js services for data processing, feature updates, and monitoring
- Cross-system integrations: APIs connected to internal services, with focus on reliability and error handling
Data Science & AI Experience
- Published scientific literature demonstrating applied research and data analysis skills
- Built Python-based pipelines for data processing, modeling, and workflow automation
- Applied machine learning frameworks (TensorFlow, PyTorch, scikit-learn) for classification, regression, and NLP tasks
- Integrated AI-assisted tools for code generation, automation, and feature validation
- Conducted data-informed decisions for feature prioritization and system optimization
Achievements & Highlights
- Modernized legacy enterprise systems with minimal disruption
- Delivered robust, production-ready features supporting internal operations
- Improved team productivity through automation, tooling, and structured workflows
- Maintained bilingual project coordination, bridging communication gaps across distributed teams
- Documented and standardized internal processes for future scalability and maintainability
Available for data science, front-end, back-end, or full-stack work, with a focus on enterprise implementation, system migration, API integration, and production-ready feature delivery.