I design and build cloud-native products, end to end.
4+ years delivering web applications and AWS infrastructure for enterprise clients in Japan — from requirements to production, backend to frontend, Infrastructure-as-Code to generative AI.
About me
I'm a full-stack engineer and AWS-certified cloud architect. I've led requirements-to-delivery work on retail IoT platforms, facility management systems, SAP integrations and internal generative-AI tooling — combining Python/Java backends, Angular/Vue frontends and Infrastructure-as-Code on AWS. I hold 18 certifications earned over four years, including multiple AWS Associate-level credentials, and I'm now taking on select freelance and consulting projects.
Read more →Recent projects
Cloud infrastructure for a retail electronic shelf-label platform
Led requirements-to-delivery of a new multi-tenant AWS infrastructure supporting an electronic shelf-label (ESL) system for a major retail client. Owned the cloud architecture, built the environment with Infrastructure-as-Code and automation scripts, and set up the CI/CD pipeline as sub-lead of a 6-person infrastructure team.
Role: Sub-lead, Infrastructure team (6)
Facility HVAC management system — full-stack development
Built a new web system for monitoring and controlling building HVAC equipment for a major manufacturer, covering system/API/DB design through Python backend and Angular frontend development, and unit/integration testing, as sub-lead of a 7-person team.
Role: Sub-lead, Dev team (7)
In-house generative AI & RPA efficiency initiative
Investigated and prototyped generative-AI and RPA applications to streamline internal operations: built AI features with the OpenAI API and LLaMA, designed a Retrieval-Augmented Generation (RAG) pipeline, and trained/evaluated ML models on AWS.
Role: AI engineer, Team (7)
What I can do for you
Full-stack web development
End-to-end feature delivery: Python/Java backends, Angular/Vue frontends, REST APIs and relational/NoSQL data design (PostgreSQL, MySQL, DynamoDB).
AWS cloud architecture, IaC & migration
Cloud architecture design and build-out on AWS (Lambda, ECS/EKS, S3, SQS, RDS...), automated with CloudFormation and CI/CD pipelines for repeatable, auditable deployments — including cloud migration of existing on-premises/legacy systems.
Machine learning & deep learning deployment
Training and deploying machine learning / deep learning models end to end, including deployment and optimization of generative AI models on AWS and rolling out open-source models to cloud environments.
Latest from Tech Sharing
Making sense of Python's formatting/linting tools: isort, Black, Ruff, Pylance, Flake8
What each of these tools actually does, how they differ, and which combination to reach for — from classic Black + isort + Flake8 setups to a fast, unified Ruff-based workflow.
Read morePassing values between CloudFormation stacks: Export/Import, Nested Stacks, SSM Parameter Store
Comparing the three common ways to share values across CloudFormation stacks — coupling, lifecycle constraints, and when to reach for each.
Read more