Yutaro Watanabe — Application Engineer

About

I'm Taro — Tokyo-born, based in Milan for the better part of a decade. Application Engineer at Mollie, an Amsterdam-based payments fintech.

I identify as a software engineer with a passion for data science and machine learning.

Studied at Georgia Tech (MS in Computational Data Analytics) and Bocconi (BSc). Previously five-plus years at Quick Algorithm, where I built the company's anomaly-detection algorithm and MLOps pipelines for clients including Angelini Pharma, Ducati, Brembo, and Pfizer.

Experience

Application Engineer · Mollie · Jun 2026 – present

Building systems at Mollie, an Amsterdam-based payments fintech whose single-API platform processes online and in-person payments for businesses across Europe.

Data Scientist & Software Engineer · Quick Algorithm · Oct 2020 – May 2026

Built the company's signature anomaly detection algorithm and scalable MLOps pipelines for predictive-maintenance SaaS features. Clients included Angelini Pharma, Ducati, Brembo, and Pfizer.

Education

Georgia Institute of Technology · MS, Analytics — Computational Data Analytics · 2021 – 2023

Completed remotely while working full-time. Thesis: statistical and empirical analysis to reverse-engineer micro-edge models running on a closed-source industrial vibration sensor.

Bocconi University · BSc in Economics & Computer Science · 2018 – 2021

Thesis: a benchmarking suite and diagnostic tools for missing-data imputation techniques in ML models.