Takuya Kitazawa
- Bridging the gap between technology design and real-world user needs across corporate and non-profit contexts.
- Specialized in AI/ML products, data systems, and digital transformation that prioritize user adoption and minimize implementation risks.
- Supporting startups, social enterprises, and individual practitioners through strategic assessment, system optimization, and actionable guidance.
Work
2022/09 – Present
Independent Consultant
Self-employed in Canada
ICT4D Digital Transformation ITIL Data Architecture Recommender Systems AI/MLPartnering with organizations and individuals through technical advisory, focused capability-building, and mentorship to improve how digital systems are designed, evaluated, and used in practice.
Services: Digital system and product evaluation, project diagnostics, targeted technical and strategic guidance.
Find more at takuti.me/services.
2025/01 – 2025/12
Acting ICT Director
2023/08 – 2024/12
Information and Communication Technology Advisor
Emerge Livelihoods (formerly Mzuzu Entrepreneur Hub), Mzuzu, Malawi
.NET MAUI Project Management Digital Marketing Education Leadership Non-Profit ConsultingCanadian international volunteer through World University Service of Canada, advancing equitable ICT access in Malawi. Featured in "Spotlight on Takuya: An Uplifting Volunteer Experience."
- Assessment: Conducted organization-wide ICT capacity assessment and strategic recommendations.
- Training: Trained 19 Malawian youth (9F, 10M, aged 18-31) in 3-month Python programming course.
- Optimization: Improved Flask web application achieving 50% Lighthouse Performance gains.
- Development: Led Android e-learning app development and Google Play launch.
Senior Leadership: Managed 5-10 Malawian professionals, driving strategic technology initiatives and organizational digital transformation for non-profit operations.
2021/08 – 2022/08
Software Development Engineer - Personalization
Amazon, Vancouver, BC, Canada
TypeScript Scala Python AWS Apache Spark Apache Airflow Recommender SystemsRecommender Systems: Developed Amazon's "Buy Again" repeat purchase recommendation system, implementing 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 ManagementManaged product development in digital marketing, analytics, and ML: data visualization, A/B testing, predictive customer scoring.
Developed solution templates within Treasure Boxes ecosystem to enable strategic customer data use.
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)
Engineering: Advanced big data, ML, and IoT integration across retail, gaming, and media. Led Python SDK development for enterprise analytics platform.
Product Management: Coordinated multi-regional teams for customer data platform, contributing to "Strong Performer" in Forrester Wave™ Customer Analytics Technologies Q3 2020. Co-led multi-touch attribution solution with Arm Research.
2017/02 – 2018/07
Data Science Engineer
Treasure Data, Tokyo, Japan
(Acquired by Arm)
Java Apache Hive Apache Spark Ruby on RailsContributed to Apache Hivemall, a scalable ML library for Apache Hive and Spark.
Led development of out-of-the-box ML solutions, managing full lifecycle from analysis to customer onboarding.
2015/08 – 2016/06
Part-time Software Engineer
Rakuten Institute of Technology, Tokyo, Japan
Python PHP Recommender SystemsAlgorithm Research: Developed recommendation algorithms for online golf booking service. Conducted assessments and proposed improvements based on baseline study.
2012/02 – 2013/02
Part-time Software Engineer
HANASAKE PICTURES, Fukushima, Japan
Objective-C PHP Image ProcessingMobile & Web Development: Developed PHP applications for avatar-based social networking and iOS app for virtual trial fitting using Poisson Image Blending.
2011/10 – 2013/03
Part-time Research Assistant / Web Developer
The University of Aizu, Fukushima, Japan
Ruby on Rails Data Visualization GISResearch Application Development: Led development of Ruby on Rails web application for regional weather monitoring with interactive geospatial data visualization using d3.js.
Education
2015/04 – 2017/03
Master of Information Science and Technology
The University of Tokyo, Tokyo, Japan
Thesis: Persistently Cold-Starting Online Item Recommendation for Implicit Feedback Data | GPA: 4.0 | Credential: WES Verified
Experience: Student volunteer RecSys 2016, ML Summer School Kyoto 2015
R&D Intern Silver Egg Technology: Applied novel recommendation algorithms
ML Intern Treasure Data: Apache Hivemall UDFs, anomaly detection system
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 | GPA: 3.97
Honors: President's Award (Summa Cum Laude, 2015), Dean's List (2012–2015), Best Paper Prize IEEE Sendai (2014), Innovative Award Business Plan Competition (2012)
Activities: TA Numerical Analysis (20+ students), Security & Programming Camp (2011)