I will build recommender systems that help users make better decisions

T
takuya_kitazawa
T
takuya_kitazawa
Takuya K
build recommender systems that help users make better decisions
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build recommender systems that help users make better decisions

About this gig

I design and build recommendation systems that help users make better decisions (not just click more).


From user research to iterative improvements, I can help you with:

  • Personalization strategies (user journeys, segmentation, ranking)
  • ML-powered product features (NLP, data pipelines, hybrid systems)
  • A/B testing & optimization of personalized experiences


My focus is on personalization in real-world conditions:

  • limited data
  • constrained environments
  • high-stakes user decisions (education, jobs, finance)


That is, I work on systems that are:

  • context-aware
  • transparent (clear "why this is recommended")
  • adaptable (not one-size-fits-all or black-box AI)


Happy to talk if your project or product aims beyond engagement/profit maximization.

  • Model expertise

    • Recommendation systems

  • Industry

    • Data analytics
    • Marketing & advertising
    • Other

  • Programming language

    • C#
    • Java
    • JavaScript
    • Python
    • Ruby
    • TypeScript
    • React
    • Julia

  • Language

    • English
    • French
    • Japanese

  • Technical expertise

    • Machine learning (Supervised, Unsupervised, Reinforcement)
    • Natural language processing (NLP)
    • Algorithm development and optimization
    • Feature engineering and data processing
    • AI ethics and bias mitigation

Get to know Takuya K

Takuya K

AI Product Builder for Personalization and Recommender Systems

  • FromCanada
  • Member sinceMay 2026

  • Languages

    English, Japanese, French, ot
I build data-driven products end-to-end, from user research to production, across Amazon-scale global platforms and low-resource environments in Sub-Saharan Africa.

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