Takuya Kitazawa
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.
- 9+ years across B2C, B2B, and non-profit sectors worldwide
- Published specialist in recommender systems and applied machine learning
- Proven ability to translate real-world constraints into scalable system design
Work
2022/09 – Present
Product Developer (Independent)
Self-employed in Canada
Design and build AI/data products with diverse clients.
Selected engagements:
- Mobile learning product in Sub-Saharan Africa: Led end-to-end Android app development from research to deployment, shaping UX for low-literacy and offline usage
- ML/NLP pipelines for enterprise SaaS: Designed scalable data pipelines supporting large-scale analytics and product integration
- Startup data-driven decision support: Optimized analytics infrastructure for dynamic pricing and supply chain management
- Mentorship in product development: Partnered with mid-career professionals transitioning to data/product roles
2023/08 – 2025/12
ICT Advisor & Acting Director
Emerge Livelihoods (formerly Mzuzu E-Hub), Mzuzu, Malawi
Led digital product and infrastructure strategy in a limited-resource environment.
- Owned mobile e-learning product prioritizing rapid iteration, local adaptation, and sustainability
- Conducted in-field user research → translated into service design under real-world constraints
- Improved website performance by 50% (Lighthouse) via data-driven optimization
- Led capability assessment → defined multi-year roadmap aligned with mission and operational realities
- Managed team of 5-10 local professionals, coordinating technical and program stakeholders
2021/08 – 2022/08
Software Development Engineer - Personalization
Amazon, Vancouver, BC, Canada
Worked on large-scale personalization systems in e-commerce.
- Contributed to "Buy Again" recommendation system used by millions of customers globally
- Built production-grade data pipelines and frontend components for repeat-purchase personalization
- Conducted cross-regional A/B testing in high-scale production environments
2020/10 – 2021/08
Senior Product Manager
Treasure Data, Tokyo, Japan → Vancouver, BC, Canada
Led product development for enterprise customer data platform (B2B).
- Delivered no-code tools for data visualization, A/B testing, and predictive modeling
- Conducted user interviews and analyzed usage data → prioritized features by business impact
- Developed reusable product templates enabling scalable data utilization
2020/02 – 2020/09
Product Manager
2019/04 – 2020/01
Staff Engineer
2018/08 – 2019/03
Senior Engineer
Arm (Treasure Data), Tokyo, Japan
Bridged product and engineering across global enterprise clients.
- Led ML/IoT solutions for retail, gaming, manufacturing, and public sector across 3 regions
- Co-developed multi-touch attribution product with researchers (concept → validation → delivery)
- Coordinated cross-functional teams across regions (engineering, design, customer success)
- Contributed to Forrester Wave™ recognition (Customer Analytics Technologies, Q3 2020)
- Owned developer tool used by hundreds of data scientists, driving rapid adoption
2017/02 – 2018/07
Data Science Engineer
Treasure Data (acquired by Arm; later spun out), Tokyo, Japan
- Led OSS-based ML integration into enterprise analytics platform
- Owned full lifecycle: requirements → implementation → onboarding → iteration
- Worked with sales and customer success to align product with real-world needs
2015/08 – 2016/06
Part-time Software Engineer
Rakuten Institute of Technology, Tokyo, Japan
Python PHP Recommender SystemsAlgorithm research in e-commerce personalization: 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 ProcessingMulti-platform B2C software 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 tool 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: ML Summer School Kyoto 2015, student volunteer at RecSys 2016
R&D intern at Silver Egg Technology: Developed online recommendation algorithm
ML intern at Treasure Data: OSS for scalable ML, 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)