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Experienced web application engineering for server side and client side. Besides, I am privately motivated to develop iOS app, web application, module library, and provision servers. I am comfortable to collaborate with team mates in English.

Work experience

May 2012Present


GREE, Inc.
  1. GREE Platform service development
    • Both server side and client side
    • Launch the first largest game platform
      • Used by approx. 5 million active users / month
      • Makes approx. 1000 thousand dollars / month
    • Projects
      • Enhance user authentication systems by OpenID, OAuth 2.0 with Facebook, Google+, Yahoo Japan
      • Add Multi-factor authentication to GREE Platform, and prized company-wide monthly MVP award
      • Setup environment for security vendor's inspection, and fix found vulnerabilities which include XSS, CSRF, open redirectors
      • Security measures against List Based Attack
    • Tecnnology stacks
      • Languages: PHP, JavaScript, C++
      • RDBMS: MySQL
      • KVS: Memcached, Flare
      • CI: Jenkins, PHPUnit
  2. Test engineering for Quality Assurance
    • RESTful API's acceptance testing tool
    • In-house support tools
    • Tecnnology stacks
      • Languages: Node.js
      • CI: Jasmine, PhantomJS
  3. Web game developer
    • Mainly server side
    • Projects
      • Develop the clone service of web game service from GREE Platform to the other platform. The project cloned the game "Hakoniwa" to NTT Docomo's platform, including versioning-up from PHP v5.2 to v5.5, make composer packages for common libraries, and move from on-premises server to AWS EC2 servers.
      • Implement several new core game features
    • Tecnnology stacks
      • Cloud Platform: AWS
      • Languages: PHP, JavaScript
      • KVS: Memcached, Flare
      • RDBMS: MySQL
      • CI: Jenkins, PHPUnit


Oct 2015Present

Master of Science in Information Science

Japan Advanced Institute of Science and Technology
  • Research Theme: Detecting vulnerabilities in C / C++ source code
    • High precision by machine learning based on git commit history
    • Significantly low False-positive rate, 99 % lower than Flawfinder
Apr 2008Mar 2013

Bachelor of Arts in Culture, Media and Society

Waseda University
  • Statistical Sociology



  • Programming Languages
    • PHP
    • JavaScript
    • C++
    • Swift
    • Python
    • Ruby
  • Application Frameworks
    • iOS Cocoa
    • Ruby on Rails
    • Tornado (non-blocking web app framework on Python)
    • Cocos2d-x
  • Machine Learning
    • Numpy
    • Scipy
    • Scikit-learn
  • Provisioning Tools
    • Docker
    • Ansible

Test Scores

  • TOEIC 835 at March 2016