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, and integrating front-end and back-end services. Experienced in coordinating with 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 integration with the frontend
• Developed and maintained backend APIs for transactional systems connected to Oracle Database
• Participated in bilingual (Japanese/English) project environments and coordinated releases across distributed teams
• Delivered features through CI/CD pipelines
• Participated in code reviews and technical documentation

Technical Stack

• Front end: React, TypeScript, Formik, Zustand (State management), TailwindCSS
• Back end: Node.js (Express), Axios, REST APIs, microservices
• Database: Oracle Database
• Languages & AI: Python, TensorFlow, Keras, scikit-learn, Pandas, NumPy
• Data & Simulation: Google Earth Engine (JavaScript), Arena Modeling & Simulation
• Tooling & DevOps: Git, GitHub Actions, CI/CD pipelines
• Testing: Jest
• 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 (Zod) and API enforcement
• Workflow automation systems: Node.js services for data processing
• Cross-system integrations: APIs connected to internal services, with focus on reliability and error handling

Data Science & AI Experience

• Temporal Analysis for Poverty Forecasting: Head researcher for a remote sensing study using RNNs to predict poverty via nighttime lights and vegetation indices.
• Published Research: Accepted for publication and invited speaker at the Big Data & AI 2024 Conference (China) and ICMCTSD 2025 (Manila).
• Remote Sensing Pipelines: Extracted and processed large-scale geospatial data using Google Earth Engine and government databases.
• Operations Modeling: Designed stochastic queuing simulations for high-traffic fast-food operations to optimize service throughput.
• Technical Analysis: Implemented graphical and statistical workflow representations to identify bottlenecks and improve efficiency.

Achievements & Highlights

• Modernized legacy enterprise systems with minimal disruption
• Invited Speaker: International conferences in China and Manila (2024-2025)
• Developed formal stochastic models for operational optimization