Bridging the gap between AI models and high-performance infrastructure.
- 🔭 Core Focus: Specializing in Scalable Backend Systems, AI Agents, and HPC.
- ⚙️ Systems Engineering: Optimized concurrency protocols in C++, achieving 610K TPS via elastic locking mechanisms.
- 🧠 AI & ML: Benchmarking intelligent systems using LLM Agents, RL (DQN), and Computer Vision.
- ☁️ Backend Architecture: Deploying microservices with FastAPI & Spring Boot on AWS/GCP.
- 🌍 Bilingual Engineer: Fluent in English and Japanese; experienced in cross-cultural technical environments.
| Project | Description | Stack |
|---|---|---|
| GenAI vs RL Tetris | AI Agent Benchmarking. Custom Gymnasium env comparing Gemini & OpenAI Agents vs. Deep Q-Networks (DQN). Implemented Chain-of-Thought (CoT) to improve survival rates by 8.2% over baseline. | |
| FafnirDT | High-Performance DB. Enhanced 2PLSF concurrency protocol. Achieved 610K TPS under delayed workloads through dynamic timestamp injection. | |
| MediSkinAI | Medical Computer Vision. Melanoma screening web app (91% accuracy) using a FastAPI backend for model inference on Cloud Run. | |
| Right Source Auto | Production Freelance Platform. Migrated dealership from Facebook to custom platform. Built React frontend + Headless Sanity CMS backend. |



