An independent engineer covering the whole path — from requirements to design, implementation, and infrastructure. Available both for standalone, end-to-end contracts and as a member of your development team. Direct contracts with no middleman margin mean fast communication and a flexible way of working. I deliver results you can actually use.
From contract development to technical support and one-off consultations. Whether as a standalone contractor or a member of your team, I adapt to the scale and phase of the project.
New builds and feature additions for business systems, web services, and mobile apps. End to end, from organizing requirements to release.
Reviewing server costs, migrating legacy systems to the cloud, and building platforms that balance stable operation with scalability. Both AWS and GCP.
For "we want to try whether AI works" or "we want to put our data to use," I go along from a small proof of concept to production adoption.
A second opinion before you commission work, a sanity check on a vendor's estimate or design, a sounding board for technology choices — one-off requests are welcome.
Detailed information for technical stakeholders. For "what you can commission," see the cards above.
Some entries are anonymized due to confidentiality. The focus is on "what was built and how it helped."
Migrated a data-processing platform that had run on in-house servers to the cloud. Handled everything from design and implementation to platform build single-handedly, ensuring quality with 400+ automated tests. Also provided knowledge sharing and development support alongside the migration.
Fully rebuilt an IoT service that collects and visualizes sensor data. Took on everything from requirements to development, implementing real-time chart rendering and automatic email alerts on anomaly detection. Cut server operating costs and achieved a multi-tenant architecture deployable across multiple companies.
Developed an AI system that detects people from camera footage in real time. Dramatically accelerated the recognition processing and completed the production environment build single-handedly.
Developed an AI-powered desktop app for use on the manufacturing floor. Improved the AI's decision accuracy by 7.9% and cut development wait time by up to 90%, speeding up the release cycle.
Handled the prediction-computation platform that supports evacuation decisions during heavy rain. Owned everything from the system architecture design to platform build and environment-setup automation, and was also involved in DR planning and technical negotiations with the client.
Designed and built an analytics platform connecting ad-delivery data with purchase data. Shortened data processing from 3 days to 1 day, improving the speed of sales proposals. Also automated ad delivery.
With no middleman margin, cost-effectiveness is high and communication is fast. With a single point of contact, misunderstandings are less likely to arise.
Because I can complete everything alone — from design and implementation to infrastructure and release automation — I work quickly with low coordination cost on standalone contracts, and contribute as a cross-domain force when joining a team.
Infrastructure knowledge backed by AWS / GCP certifications, plus hands-on machine-learning development experience. I handle cross-domain problems in one stop.
I don't stop at the requested scope; I proactively take on the unglamorous parts too, such as improving documentation and the development process.
Graduated from the School of Fundamental Science and Engineering at Waseda University and completed its graduate program (B.Eng. / M.Eng., Mechanical Science). After working on equipment design at a major plant-engineering company, I broadened into AI robotics, machine learning, and data platforms, and went independent in 2024. I currently work on several cloud and machine-learning projects in parallel.
View LinkedIn ↗Feel free to reach out about development requests, estimates, or technical questions. I usually reply within 1–2 business days.
I record what I learn through personal projects and technical research, centered on cloud and machine learning. Please read it as personal study notes rather than professional deliverables.