Takuya Kitazawa

  • M.S. in Information Science and Technology, specialized in recommender systems and scalable machine learning.
  • 6+ years of hands-on industry experience as a full-stack software engineer, OSS developer, data scientist, machine learning engineer, and product manager.
  • Productizing machine learning and data analytics in both B2C and B2B domain, by not only implementing the system but also translating business needs into technical problems.


Work

2021/08 – Present

Software Development Engineer - Personalization

Amazon, Vancouver, BC, Canada

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

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)

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)

  • 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

In the research organization, I have worked on the development of recommendation algorithms for an online golf booking service. Based on a previous 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

HANASAKE PICTURES, Fukushima, Japan

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

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.

Education

2015/04 – 2017/03

M.S. in Information Science and Technology

The University of Tokyo, Tokyo, Japan

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

Advisor: Dr. Takayasu Matsuo

GPA: 4.0

Activities:

Internship:

  • 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:

Activities:

  • Served as a teaching assistant in a Numerical Analysis course, and thought Java coding of numerical methods to 20+ undergraduates (Fall 2014)
  • Participated in Security and Programming Camp 2011 to deepen knowledge in web security (Aug 2011)