Takuya Kitazawa

  • 10+ years of experience at start-up, Big Tech, and as an independent, with a master's degree in Information Science and Technology specializing in recommender systems and scalable machine learning.
  • On a mission to strengthen our lives in the information-rich world, which has led my career into full-stack application development, data science & analytics, machine learning productization & operationalization, and product management.
  • Empathy as a core value, allowing me to serve different scales and verticals of B2C/B2B business across the globe (e.g., e-commerce, gaming, online media, supply chain), contribute to open-source and research communities, and mentor fellow developers.


2023/08 – Present

Information and Communication Technology Advisor

Mzuzu Entrepreneur Hub, Mzuzu, Malawi

C# .NET Digital Marketing

As a Canadian international volunteer from World University Service of Canada, I promote equitable access to ICT in Malawi, a small landlocked country in southeast Africa, through digital skills training for young people and capacity building at the local social enterprise.

2022/09 – Present

Freelance Software Developer

Self-employed in British Columbia, Canada

Python Google Cloud Apache Beam Data Engineering Natural Language Processing

Helping individuals and businesses (mostly small-scale, up to 150 people) to efficiently, effectively, and ethically productize data as an analytics pipeline, ML/NLP model, and customer-facing applications. Provided services include but are not limited to:

  • Full-stack software engineering
  • Data science, analytics, and machine learning consultation
  • Product management and development
  • Mentoring, teaching, and writing

2021/08 – 2022/08

Software Development Engineer - Personalization

Amazon, Vancouver, BC, Canada

TypeScript Scala Python AWS Apache Spark Apache Airflow Recommender Systems

Worked full-stack on Amazon's "Buy Again" repeat purchase recommender system, including its frontend components and backend data pipelines.

2020/10 – 2021/08

Senior Product Manager

2021/02 – 2021/08

Treasure Data (Canada), Vancouver, BC, Canada

2020/10 – 2021/02

Treasure Data, Tokyo, Japan

Python Data Visualization Predictive Modeling Digital Marketing Product Management

2020/02 – 2020/09

Product Manager

2019/04 – 2020/01

Staff Engineer

2018/08 – 2019/03

Senior Engineer

Arm, Tokyo, Japan

(Spin-off Treasure Data as an independent organization)

Python Apache Hive IoT Data Science Product Management

As an engineer:

  • Evangelized the connection of big data, machine learning, data science, and IoT, both for company's internal and external audiences.
  • Worked closely with an internal sales engineering team and served as a data science consultant to accomplish clients' machine learning projects in a wide variety of industries, including retail, gaming, and online media.
  • Represented individual contributors in Arm's data business unit, and mapped out granular IoT-data integrated use cases and solution ideas through prototyping and customer-facing work with global teams.
  • Led the development of a brand-new Python SDK for an enterprise big data analytics platform, and renovated the surrounding data science ecosystem.

As a product manager:

2017/02 – 2018/07

Data Science Engineer

Treasure Data, Tokyo, Japan

(Acquired by Arm)

Java Apache Hive Apache Spark Ruby on Rails

  • Regularly contributed to the development of Apache Hivemall, a scalable machine learning library running on Apache Hive and Spark.
  • Led the development of out-of-the-box machine learning applications from competitor analysis and requirement gathering to system implementation and customer onboarding.

2015/08 – 2016/06

Part-time Software Engineer

Rakuten Institute of Technology, Tokyo, Japan

Python PHP Recommender Systems

In the research organization, I have worked on the development of recommendation algorithms for an online golf booking service. Based on a baseline study, I have conducted further assessments and proposed improvement ideas in terms of both theory and practice.

2012/02 – 2013/02

Part-time Software Engineer


Objective-C PHP Image Processing

Contributed to the development of (1) PHP applications for an avatar-based social networking service, and (2) an iOS application for virtual trial fitting using an image blending algorithm named Poisson Image Blending.

2011/10 – 2013/03

Part-time Research Assistant / Web Developer

The University of Aizu, Fukushima, Japan

Ruby on Rails Data Visualization GIS

Led the development of a Ruby on Rails-based web application "Aizu Weather" for regional weather monitoring, accompanied by interactive geospatial data visualization using d3.js.


2015/04 – 2017/03

Master of Information Science and Technology

The University of Tokyo, Tokyo, Japan

Degree credential: WES Verified International Academic Qualifications

Thesis: Persistently Cold-Starting Online Item Recommendation for Implicit Feedback Data

Advisor: Dr. Takayasu Matsuo

GPA: 4.0



  • R&D Intern at Silver Egg Technology (Dec 2016 – Jan 2017)
    • In-depth data analysis on customer's purchase dataset collected from a real-world e-commerce service.
    • Proposing a novel recommendation algorithm, which has been a part of my master's thesis, to achieve higher accuracy of recommendation in the long run.
  • Machine Learning Intern at Treasure Data (Aug – Sep 2016)
    • Implementing user-defined functions (UDFs) for state-of-the-art recommendation and anomaly detection techniques on Apache Hivemall.
    • PoC implementation of a next-generation anomaly detection system for multiple system metrics, collected from an enterprise big data management platform.

2011/04 – 2015/03

B.S. in Computer Science and Engineering

The University of Aizu, Fukushima, Japan

Thesis: User Modeling in Folksonomies: Relational Clustering and Tag Weighting

Advisor: Dr. Masahide Sugiyama

GPA: 3.97

Honors and Awards:


  • Served as a teaching assistant in a Numerical Analysis course, and taught Java coding of numerical methods to 20+ undergraduates (Fall 2014)
  • Participated in Security and Programming Camp, a multi-day group training program in computer security (Aug 2011)