AboutMe

Name : Tomoya Ikeda Role : EM (2025/02/12 Updated)

Work Experiences

• Cybozu (April 2022 - Present)
  • Engineering Manager & Software Engineer
    • Develop new features for Kintone.
    • Project managements for the Generative AI team (5+ members) and native app.
    • Cross-team management for new feature development.
    • People management for team leads.
    • Performance evaluations.
    • Budget planning and management.
    • Approval of payments and other administrative decisions.
• PayPay (October 2019 - March 2022)
  • Tech Lead & Software Engineer
    • Led a team of 10+ engineers, managing task assignments, conducting one-on-one meetings, and providing technical guidance.
    • Designed system architecture and APIs to develop and enhance features.
    • Collaborated with product managers and other component leads to finalize code design and interface specifications.
    • Reviewed pull requests as a code owner, ensuring code quality and best practices.
    • Served as the main contributor to the BFF (Backend for Frontend) service, making the most code changes and commits.
    • Conducted thorough testing, including end-to-end (E2E), unit tests (UT), and functional tests (FT).
    • Promoted a culture of comprehensive testing within the team.
    • Measured system performance through load testing and estimations.
    • Refactored the codebase to enhance maintainability and future scalability.
    • Migrated legacy endpoints to reduce technical debt.
    • Managed weekly release cycles.
    • Conducted technical interviews for hiring engineers.
    • Contributed to core development efforts, including payment processing, new payment flows, cashback campaigns, internationalization (i18n), and more.
• NTT (April 2018 - September 2019)
  • Research & Development Engineer
    • Researched and optimized the performance of the Point-in-Polygon algorithm for geometric computations.
    • Designed and implemented systems using Elasticsearch, including capacity planning and performance evaluations.
    • Developed database indexing features for multi-dimensional continuous data and conducted performance validation.
    • Built a defect detection system using machine learning and deep learning techniques.

Educations

• 2016/04/01-2018/03/31
  • 名古屋大学大学院 情報科学研究科: スパコン(FX100)上における並列計算/メモリアクセス最適化/通信削減の研究
• 2012/04/01-2016/03/31
  • 名古屋工業大学 情報工学科: 強化学習(Q学習), マルチエージェントシステムの応用研究

Hobbies

Development

• JANOG49 NETCON 自動採点機能の追加開発
• JANOG47 NETCON VM管理サーバの開発
• 釣りが楽しくなるアプリTutter(React + Python)
• バンディットアルゴリズム(Golang)
• 競技プログラミングコンテスト カレンダーサイト(Vue.js + firebase) (更新するサーバが止まっている..)
• 世界各国のAmazonから最安値商品を検索するアプリ(Java)
• 競馬AI予想マスターズ2023本戦出場

Competitive Programming

• AtCoder
• Kaggle

Publications

• 響け!動的計画法
• 時空間ブロッキングを用いたアジョイント法の高性能化～ForwardとBackwardの計算～, 情報処理学会論文誌コンピューティングシステム(ACS), Vo.11 No.1 pp.12-26, 2018.
• Optimizing Forward Computation in Adjoint Method via Multi-level Blocking, Tomoya Ikeda et al., HPCAsia2018, 2018.
• MPIと通信削減アルゴリズムによるアジョイント法の高性能化, 池田 et al., 第162回HPC研究会, 2017.
• アジョイント法におけるForward modelへの階層ブロッキング適用による高性能化, 池田 et al., 第157回HPC研究会, 2016.
• DPMAT2018 発表資料

Techs

Programming Language

Java, Python, C/C++, Fortran, Golang, React, etc

Middleware

MySQL, Kafka, Redis, Elasticsearch/OpenSearch, etc

Tools & Platforms

Git, ArgoCD, NewRelic, Kibana, Jupyter Notebook, etc

Fields of Interest

distributed systems, high-performance computing, machine learning/deep learning, recommendation systems, reinforcement learning, multi-armed bandit problems, geometric computations.

ContactMe

• twitter(@motacapla)
• email(t.i.motacapla[at]gmail.com)