Career - FarPoint

MIIDAS CO., LTD.Data Engineer

Experience: 4 yr 5 mo
Certifications: 9

Personal work

Published apps: 3

What I am good at

Extraction that goes inside the implementation, visualisation that serves the business goal.
I work alongside the business from the definition of the metric itself, and stay with it through to the insight it was asked for. From IoT systems to web and mobile, I have broad experience of building software, so I extract data with a deep understanding of the implementation behind it. Visualisation and analysis are the same — I put generative AI to work and deliver quickly, in the form the person will actually use. Underneath that, I can shape the data, the context around it and the ETL that feeds it for the age of generative AI, so that people and AI alike can work with what is there.
The traits behind it
- I can design the whole system, not one layer of it
  From hardware up to the cloud, I can draw the blueprint. I have built IoT hardware, web applications, mobile apps, and a game service platform running in the cloud, so I can combine pieces I have not used before and still see how the whole thing fits together. Holding that picture is also what lets me hand implementation to generative AI and still carry a whole system on my own.
- I read the code, then deliver the data
  Table definitions rarely tell you what a column means to the business, so I read the specification and follow the code until I know. Years of building software myself means I can open a running system, watch how it behaves, and produce data — or answer a question about how that data comes to exist — on that basis. It changes how I use generative AI for the same work: because I know where to look, I can direct it precisely, get an answer quickly, and judge whether the answer holds.
- I do not stop at what the tool allows
  When Grafana or WebPerformer could not do what was needed, I wrote the plugin or the surrounding tooling myself. When the open-source catalog we depend on, tbls, fell short, I filed the issue and the pull request. I read the documentation and the source, and I keep digging until I find the route that actually serves the goal — and where the result is worth sharing, I share it.
- I go and learn the business itself
  An IoT system for a screw factory as a student, and a secondment to a steelmaking division in my first year of work, taught me the same lesson: what matters is the business outcome, the data that comes out of it, and the domain knowledge you need to connect the two. Sometimes the right answer is to change the workflow rather than to build anything at all. I would rather understand what the person asking is trying to achieve — including where AI genuinely helps — than simply implement what I was handed.
See related projects10 projects
I can draw the whole system, and cover operation and reaching users on my own, alongside generative AI.
On my own time I have shipped an online card game, President Noir, on Steam, and the iOS app BigTap on the App Store. Planning, UI design, implementation in Go and Swift, infrastructure as code with Terraform on AWS, store listings in multiple languages and the work of getting people to install them — all of it is mine. Beyond writing code, I can take on the whole of building a system to solve a problem. I draw the overall shape myself, and put generative AI to work to get it into form quickly.
The traits behind it
- I can design the whole system, not one layer of it
  From hardware up to the cloud, I can draw the blueprint. I have built IoT hardware, web applications, mobile apps, and a game service platform running in the cloud, so I can combine pieces I have not used before and still see how the whole thing fits together. Holding that picture is also what lets me hand implementation to generative AI and still carry a whole system on my own.
- I read the code, then deliver the data
  Table definitions rarely tell you what a column means to the business, so I read the specification and follow the code until I know. Years of building software myself means I can open a running system, watch how it behaves, and produce data — or answer a question about how that data comes to exist — on that basis. It changes how I use generative AI for the same work: because I know where to look, I can direct it precisely, get an answer quickly, and judge whether the answer holds.
- I put generative AI to full use
  At work and on my own projects alike, generative AI does most of the building. Claude Code and a task manager I built myself let me run several projects at once while I mostly review. I deliberately do not review implementation line by line; I review the design closely instead, so that what gets built is still aimed at the goal. The same applies outside code — I have been learning to produce game assets and short marketing videos with tools like ElevenLabs.
See related projects5 projects

What sets me apart

I can design the whole system, not one layer of it
See related projects9 projects
I can design the whole system, not one layer of it
From hardware up to the cloud, I can draw the blueprint. I have built IoT hardware, web applications, mobile apps, and a game service platform running in the cloud, so I can combine pieces I have not used before and still see how the whole thing fits together. Holding that picture is also what lets me hand implementation to generative AI and still carry a whole system on my own.
I read the code, then deliver the data
See related projects2 projects
I read the code, then deliver the data
Table definitions rarely tell you what a column means to the business, so I read the specification and follow the code until I know. Years of building software myself means I can open a running system, watch how it behaves, and produce data — or answer a question about how that data comes to exist — on that basis. It changes how I use generative AI for the same work: because I know where to look, I can direct it precisely, get an answer quickly, and judge whether the answer holds.
I do not stop at what the tool allows
See related projects7 projects
I do not stop at what the tool allows
When Grafana or WebPerformer could not do what was needed, I wrote the plugin or the surrounding tooling myself. When the open-source catalog we depend on, tbls, fell short, I filed the issue and the pull request. I read the documentation and the source, and I keep digging until I find the route that actually serves the goal — and where the result is worth sharing, I share it.
I go and learn the business itself
See related projects2 projects
I go and learn the business itself
An IoT system for a screw factory as a student, and a secondment to a steelmaking division in my first year of work, taught me the same lesson: what matters is the business outcome, the data that comes out of it, and the domain knowledge you need to connect the two. Sometimes the right answer is to change the workflow rather than to build anything at all. I would rather understand what the person asking is trying to achieve — including where AI genuinely helps — than simply implement what I was handed.
I put generative AI to full use
See related projects2 projects
I put generative AI to full use
At work and on my own projects alike, generative AI does most of the building. Claude Code and a task manager I built myself let me run several projects at once while I mostly review. I deliberately do not review implementation line by line; I review the design closely instead, so that what gets built is still aimed at the goal. The same applies outside code — I have been learning to produce game assets and short marketing videos with tools like ElevenLabs.

Work history

Jan 2025 – Present1 yr 8 mo
MIIDAS CO., LTD.
Data Engineer
- Jun 2026 – Present — Data Strategy Division
- Jan 2025 – May 2026 — DI Team, Development Division
- First point of contact for company-wide data requests
- Confirming definitions and conditions with the business side, putting easily-misread concepts into words before answering
- Operating the BI tools and semi-automating permission assignment
- Consolidating table definitions and other metadata into a data catalog
- Building an HTML dashboard delivery platform where generative AI writes the implementation
- Drafting a roadmap for AI-ready data infrastructure on my own initiative and driving the work against it
- MIIDAS CO., LTD.
  Jul 2025 – Present
  Metadata and a data catalog
  Table definitions and ER diagrams were scattered and every extraction started with an investigation, so I organised the metadata and built a data catalog.
  See details
- MIIDAS CO., LTD.
  Jan 2025 – Present
  Company-wide data requests
  I extract and deliver data from the product and internal systems on request from across the company, acting as the first point of contact.
  See details
- MIIDAS CO., LTD.
  Mar 2026 – Present
  An HTML dashboard platform
  BI tools meant repetitive GUI work with little flexibility and no review trail, so I built a delivery form where requirements and data definitions are written in Markdown and generative AI produces the implementation.
  See details
See every project here7 projects
Jan 2025
Moved into data engineering
With generative AI spreading and the bar for implementation falling, I decided a day job pays off more when it is specialised. Data is what generative AI draws its knowledge from, so I moved into data engineering — to build the mechanisms for it, and to get close enough to the business for it to be worth something. Alongside that I keep my personal projects, where planning, operation and reaching people are all mine.
Apr 2022 – Dec 20242 yr 9 mo
YAMATO KOGYO Co., Ltd.
Internal Systems Engineer
- Nov 2022 – Dec 2024 — Systems Section, Facilities Management Division, Yamato Steel Co., Ltd.
- Apr 2022 – Nov 2022 — Seconded to the Steelmaking Division (Systems Section, Facilities Management, Yamato Steel Co., Ltd.)
- Handled feature work, maintenance, and QA on the manufacturing web systems
- Replaced handwritten inspection and rework records with an Android handheld app, capturing them as structured data for each product
- Built the platform that collected factory equipment signals over OPC into a time-series database, and visualised it
- Introduced and operated the BI tools
- Drove a proof of concept on quality factor analysis and AutoML
- Ran training on BI and Python, new-hire training, and IT internships
- Took part in technical exchange with overseas group companies
- YAMATO KOGYO Co., Ltd.
  Jan 2023 – Dec 2024
  A handheld application for inspection and rework
  I built a new Android handheld application for recording product defects and rework results.
  See details
- YAMATO KOGYO Co., Ltd.
  May 2022 – Dec 2024
  Collecting factory equipment signals and building the store for them
  I designed, built and ran the platform that collected physical signals from factory equipment as time series and made them traceable per product.
  See details
- YAMATO KOGYO Co., Ltd.
  Sep 2022 – Dec 2023
  A PoC on quality factor analysis and AutoML
  I ran a proof of concept with an external vendor to identify the causes of product defects originating in steelmaking.
  See details
See every project here7 projects
Mar 2020
Interested in the data a system produces, and the value it creates
In my third year of university I joined the student team at the Aichi IoT Promotion Lab and built an IoT system that went into service at a working screw factory. What mattered turned out not to be that I had got something running, but that counting production in real time — which nobody there had been able to do — became material for improving yield. My interest moved from the system itself to the data it produces and the change that data makes to the business.
- Aug 2018
  An IoT system for counting production
  With a student team, I built and put into service an IoT system that automatically counted and displayed production at a working screw factory, where it had been counted by eye.
May 2016
Got interested in the web
A first-year university class had me write a single-file HTML page and put it online. Designing something anyone can reach, content and all, was what I enjoyed, and web work followed from there. Over the summer I put up a site of my own — FarPoint.
- Aug 2016
  FarPoint v1
  The first version, on rented hosting, built with a framework of my own making in PHP. A profile and a blog, plus a fortune drawn from the QR code on my new year cards.
Apr 2016 – Mar 20226 yr
Student Years
Aichi Prefectural University, School and Graduate School of Information Science and Technology
- Apr 2020 – Mar 2022 — Aichi Prefectural University, Graduate School of Information Science and Technology
- Apr 2016 – Mar 2020 — Aichi Prefectural University, School of Information Science and Technology
- Oct 2018 – Mar 2022 — Yukihoro Kamiya Laboratory (Sensing Lab.), Aichi Prefectural University
- Jul 2020 – Mar 2022 — Application Development Group, Aichi Prefectural University
- Jul 2018 – Mar 2020 — Aichi IoT Promotion Lab, Student IoT Team
I studied computing and software broadly, and in the laboratory I worked on signal processing for the periodic analysis of biological and other signals — both the theory behind the computation and experiments aimed at real applications. Alongside that I built IoT systems and smartphone applications as part of a prefectural programme, and took part in hackathons.
- Student Years
  Aug 2018 – Mar 2020
  An IoT system for counting production
  With a student team, I built and put into service an IoT system that automatically counted and displayed production at a working screw factory, where it had been counted by eye.
  See details
- Student Years
  Jul 2020 – Mar 2022
  Aichi Prefecture communication support board app
  A new app for tablets and phones that lets people communicate by pointing at illustrations, built for both iOS and Android.
  See details
- Student Years
  Nov 2020
  Smart Toy Box (HackAichi 2020)
  An IoT system for parents working from home: sensors detect whether toys have been put away and a notification goes to LINE through the cloud.
  See details
See every project here4 projects
2012
Got interested in writing programs
A third-year junior high class had me build a simple rock-paper-scissors game in Excel VBA. Making something behave exactly as I meant it to was the appeal, and I kept teaching myself from there.
- 2012
  A rock-paper-scissors app in Excel VBA
  The first program I wrote. The assignment stopped at a working game, so with the time left over I added a mode where the computer always wins.
2010
Got interested in computers
Using a computer to play with the sound and photos from a Nintendo DSi got me interested in editing media on a computer for its own sake. I made news bulletins for the family out of the photos and video and published them at home.

Personal work

The apps and services I publish are gathered under the brand rpaka-farm. Alongside the products themselves I build and run the platform behind them: infrastructure, support site, landing pages and the announcement flow.

It covers not only planning and development but the operation that follows release, and the short videos that bring people in.

Personal Projects
Jun 2021 – Present
President Noir
An online-only card game packed with house rules.
See details
Personal Projects
Jun 2025 – Present
MixFlow
An iOS app that shows the timing of live-show call-and-response chants, karaoke style.
See details
Personal Projects
Jun 2026 – Present
BigTap
An iOS custom keyboard built around a single enormous button.
See details

See every personal project6 projects

All projects

See all projects（24projects）

Skills

Data

Data Engineering
Data Platform Engineering
Data Modeling
Data Catalog & Metadata Management
Data Analysis
BI & Data Visualization
Data Governance

Generative AI Development
Machine Learning PoC

Development

Enterprise Systems Development
Web Application Development
Web Frontend
iOS App Development
Android App Development
Game Development
Browser Extension Development
Embedded & IoT

Infrastructure & Operations

Cloud Infrastructure
Maintenance & Operations

Ways of Working

Product Planning
Requirements Definition
UI/UX Design
Business Process Improvement & Automation
Technical Research
Technical Writing
Training & Education
Speaking & Presentations
Marketing & Brand Operations
Localization
Vendor Management

Languages

C#
C++
CSS
Go
Google Apps Script
HTML
Java
JavaScript
Objective-C
PHP
Python
SQL
Swift
TypeScript
Visual Basic

Frameworks & Libraries

.NET Framework
Android
Chart.js
Matter.js
Next.js
Node.js
Pixi.js
React
React Native
SwiftUI
Unity
Vue.js
matplotlib
numpy
pandas

Databases

Amazon Aurora MySQL
Amazon Redshift
DuckDB
InfluxDB
Microsoft SQL Server
MySQL
PostgreSQL

Cloud & Infrastructure

AWS
Docker
Dust Network
GCP
Mosquitto
Nginx
Raspberry Pi
Tailscale
Ubuntu
Vercel
Windows Server

BI & Visualization

Amazon Quick Suite
Dr.Sum
Grafana
MotionBoard
metabase

Tools

ASTERIA Warp
Discord
Docusaurus
ElevenLabs
Figma
GitHub Actions
Google Drive
Google Sites
Google フォーム
Jupyter Notebook
Meshy
Mixpanel
Slack
Terraform
WebPerformer
dbt
tbls

Platforms & Stores

App Store
Chrome Web Store
Google Play
Steam

Education and credentials

Education

Apr 2020 – Mar 2022
Aichi Prefectural University, Graduate School of Information Science and Technology, Department of Information Systems
Apr 2016 – Mar 2020
Aichi Prefectural University, School of Information Science and Technology
Apr 2013 – Mar 2016
Aichi Prefectural Atsuta High School

Degrees

Mar 21, 2022
Master of Information Science
Aichi Prefectural University, Graduate School 第 327 号
Mar 20, 2020
Bachelor of Information Science
Aichi Prefectural University 第 625 号

Certifications

Jul 4, 2024
Information-technology Promotion Agency, Japan (IPA)
Registered Information Security Specialist (SC)
第 SC-2024-04-02421 号
Dec 21, 2023
Information-technology Promotion Agency, Japan (IPA)
Database Specialist (DB)
第 DB-2023-10-01511 号
Aug 3, 2023
CG-ARTS Association, Japan
CG-ARTS Multimedia, Expert Level
2302500041
Aug 3, 2023
CG-ARTS Association, Japan
CG-ARTS Image Processing, Expert Level
2302400145
Jun 29, 2023
Information-technology Promotion Agency, Japan (IPA)
Systems Architect (SA)
第 SA-2023-04-00543 号
Apr 21, 2023
Japanese Standards Association (JSA)
QC Test, Grade 2
231-201664
Jun 20, 2018
Information-technology Promotion Agency, Japan (IPA)
Applied Information Technology Engineer (AP)
第 AP-2018-04-04967 号
Nov 15, 2017
Information-technology Promotion Agency, Japan (IPA)
Fundamental Information Technology Engineer (FE)
第 FE-2017-10-08840 号
Mar 31, 2017
Standard Driver's License

Badges

Oct 4, 2025
Notion
Notion Advanced Badge
Valid until Oct 4, 2027
Oct 2, 2025
Notion
Notion Workflows Badge
Valid until Oct 2, 2027
Oct 2, 2025
Notion
Notion Essentials Badge
Valid until Oct 2, 2027

Published work

Talks and presentations

Jan 27, 2022
Aichi Prefectural University, Master's Thesis Review, AY2021
A proposal of the period estimation method FVS and a theoretical study of its properties
小久保律樹
Sep 8, 2020
25th Intelligent Mechatronics Workshop
On improving the range resolution of FM-CW radar using ARS
小久保律樹, 神谷幸宏
Sep 3, 2020
37th Sensing Forum
On signal separation performance using ARS
小久保律樹, 神谷幸宏
Feb 6, 2020
Aichi Prefectural University, Undergraduate Research Presentation, AY2019
Period estimation for low signal-to-noise signals
小久保律樹
Oct 25, 2019
80th Meeting of the Japan Society of Physiological Anthropology
Evaluating FVS, a period analysis algorithm suited to vital signal processing
小久保律樹, 神谷幸宏
Oct 18, 2019
ICBSP 2019
A Novel Period Estimation Method for Periodic Signals Suitable for Vital Sensing
R. Kokubo, Y. Kamiya
Sep 18, 2019
IEEE Tokai Section Young Researchers Seminar
A new method for high-resolution analysis of noisy low-frequency periodic signals
小久保律樹

Writing

Apr 12, 2026
Technical Book Fest 20 — MIIDAS Tech LOG #1
Chapter 7: Starting an internal data catalog with tbls and Docusaurus

Coverage

2021
Aichi Prefectural University Bulletin, 2021 vol.8
Developing a communication support app
Dec 2, 2020
Kamiya Laboratory (Sensing Lab.), Aichi Prefectural University
Takuya Inagaki and Ritsuki Kokubo won a corporate prize at HackAichi 2020
2020
Aichi Prefectural University Bulletin, 2020 vol.6
Students develop a factory IoT system now running in production
Aug 21, 2019
Kamiya Laboratory (Sensing Lab.), Aichi Prefectural University
The IoT system built at the Aichi IoT Promotion Lab is now running

Awards

Nov 2020
HackAichi 2020, inter-university hackathon in Aichi
Corporate Prize (CKD)
Feb 2020
Aichi Prefectural University, Undergraduate Research Presentation, AY2019
Outstanding Presentation Award

What I am good at

Extraction that goes inside the implementation, visualisation that serves the business goal.

I can draw the whole system, and cover operation and reaching users on my own, alongside generative AI.

What sets me apart

I can design the whole system, not one layer of it

I read the code, then deliver the data

I do not stop at what the tool allows

I go and learn the business itself

I put generative AI to full use

Work history

Personal work

All projects

Skills

Education and credentials

Published work