👋 Hi, I'm Takuya

Takuya Kitazawa is a sustainability-conscious product developer, minimalistic traveler, ultralight hiker & runner, and craft beer enthusiast. Throughout my career, I have practically worked as a full-stack software engineer, OSS developer, technical evangelist, sales engineer, data scientist, machine learning engineer, and product manager.

I'm passionate about bridging a gap between scientific theory and real-world practice in industry. The previous contribution includes but is not limited to developing OSS for scalable ML, building out-of-the-box ML application, writing academic papers, presenting at tech conferences, and working on customer-facing opportunities in a variety of industries such as online media, gaming, retail and supply chain.

  k.takuti at gmail.com
  Set up a 1:1 call with me


  See my resume


How Can Recommender Systems Contribute to Mitigate Echo Chambers and Filter Bubbles?
What Container and JIT Mean for Today's Supply Chain Disruption
I Tried Audio Journaling for 30 Days
Cross-Framework Dependency Injection with spring-guice
My 30-Day Food Tracking Challenge from Sustainable Diet Perspective


2019 | Tech Conference
Apache Hivemall Meets PySpark: Scalable Machine Learning with Hive, Spark, and Python
2019 | Tech Conference
What's New and Coming to Apache Hivemall: Building More Flexible Machine Learning Solution for Apache Hive and Spark
2019 | Tech Conference
Recommendation.jl: Building Recommender Systems in Julia
2019 | Academic Conference
Zero-Coding UMAP in Marketing: A Scalable Platform for Profiling and Predicting Customer Behavior by Just Clicking on the Screen
2018 | Academic Conference
Query-Based Simple and Scalable Recommender Systems with Apache Hivemall