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About
ResearchingbiomedicalengineeringandmachinelearningatHiroshimaUniversityGraduateSchool.
Interestedindistributedsystemsandcloud-nativetechnologies,aimingtosolvereal-worldproblemsthroughengineering.
Studied engineering as an undergrad, focusing on algorithms and system design. After gaining full-stack web development experience through internships, I now focus on backend and infrastructure.
2026
Career Launch
K8s
Cloud Native
AI/ML
Research
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Timeline
Hiroshima University
Studied algorithms and system design. Focused on software engineering fundamentals.
Full-stack Web Development Internship
Built and shipped features across frontend and backend in a production web codebase.
Hiroshima University — Graduate School
Researching biomedical engineering and machine learning. fka-bsys.hiroshima-u.ac.jp
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Skills
~/toolchain/backend/
| drwxr-xr-x | python/ | ML research / Saga PoC / causal inference demo |
| drwxr-xr-x | go/ | CLI tooling / microservices PoC |
| drwxr-xr-x | node.js/ | internship / full-stack development |
~/toolchain/infra/
| drwxr-xr-x | kubernetes/ | this portfolio's Hero config / research cluster setup |
| drwxr-xr-x | docker/ | all PoCs / local dev environment |
| -rw-r--r-- | aws | S3 / EC2 / ECS production experience |
| -rw-r--r-- | terraform | IaC management for AWS environments |
~/toolchain/frontend/
| drwxr-xr-x | next.js/ | this portfolio / internship |
| -rw-r--r-- | typescript | frontend across all projects |
| -rw-r--r-- | tailwind | UI styling |
~/toolchain/ai-data/
| drwxr-xr-x | llm/ | RAG system design / prompt engineering |
| -rw-r--r-- | pgmpy | Bayesian networks / causal inference demo |
| -rw-r--r-- | matlab | biomedical signal processing / research |
~/toolchain/tools/
| -rw-r--r-- | git | everyday development |
| -rw-r--r-- | github-actions | CI/CD pipeline automation |
| -rw-r--r-- | postgresql | Saga PoC / production DB |
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Projects
Explored distributed transaction challenges in microservices. Implemented the Saga pattern with compensating transactions for automatic rollback on payment service failures.
Automatic rollback via compensating transactions when the payment service fails — ensuring distributed transaction consistency with the Saga pattern
Modeled causal relationships between weather data and sales using Bayesian networks. Built an MLOps pipeline with automated training and evaluation.
Modeled weather-to-sales causality with a Bayesian network, automating training and evaluation via GitHub Actions
Measured response time differences between monolithic and microservice architectures. A PoC project built with FastAPI and Docker.
Quantified response time differences between monolith and microservice architectures, published on Zenn
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Writing
Is k8s Service Load Balancing Truly Random? Tracing the iptables Source Code
2026-01-26
Dockerizing SPM12 (Legacy fMRI Toolbox) to Run on Apple Silicon Macs
2025-12-20
Hot-Reload Kubernetes Dev Environment with Kind + Skaffold — No Rebuilds Needed
2025-12-13
Causal Inference in Python: Untangling Spurious Correlation from True Causation
2025-12-06
Why Dev Containers Should Mirror Production Network Topology
2025-12-05
Saga Pattern in Practice: Verifying Distributed Transaction Recovery
2025-12-02
Does Microservices Architecture Double Latency? Benchmarking with Python/FastAPI
2025-12-01
Fundamentals of Software Architecture, Part 1: From Engineer to Architect Thinking
2025-11-28