Ishikawa Yu
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dbt Chamipon / dbt Code Contributor of the Year 2025 / LLMOps / MLOps / AI Safety / Data Engineering / Analytics Engineering / DataOps / Data Security and Governance / Privacy Engineering
dbt Community Awards 2025 (dbt Code Contributor of the Year) 🏆 Machine Learning / MLOps / Data Engineering / Analytics Engineering Data Governance / Self Driving Car Engineering / Privacy Engineering # GitHub: https://github.com/yu-iskw # Medium: https://medium.com/@yuu.ishikawa # Main Certifications:⠀⠀⠀ ⠀ - Self-Driving Car Engineering Nanodegree at Udacity https://graduation.udacity.com/confirm/XFZRHS9L⠀⠀⠀ ⠀ - Deep Learning Nanodegree Foundation at Udacity https://graduation.udacity.com/confirm/6UX4L6GX⠀⠀⠀ ⠀ - Machine Learning Specialization at Coursera https://www.coursera.org/account/accomplishments/specialization/MMMU42S4VL23
The University of Tokyo
Master of Science, Computer Science
January 1, 2006 – January 1, 2008
Ubie
Principal Privacy Engineer
April 1, 2022 – Present
Ubie
Principal Data Architect
March 1, 2021 – Present
Mercari US
Senior Machine Learning Engineer
October 1, 2016 – March 1, 2021
Palo Alto, California
Machine Learning with Spark Tokyo
Organizer
November 1, 2014 – December 1, 2017
Tokyo
Recruit Group
Senior Research Software Engineer (Machine Learning)
December 1, 2013 – September 1, 2016
Tokyo, Japan
CyberAgent
Senior Software Engineer
March 1, 2013 – November 1, 2013
Tokyo, Japan
mixi, Inc
Senior Software Engineer and Data Scientist
October 1, 2010 – February 1, 2013
Tokyo, Japan
Distributed Machine Learning with Apache Spark
edX
June 24, 2026 – Present
Foundations of marketing analytics
Coursera Course Certificates
June 24, 2026 – Present
Self-Driving Car Nanodegree
Udacity
June 24, 2026 – Present
Executive Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
Computer Vision Nanodegree
Udacity
June 24, 2026 – Present
Deep Learning Nanodegree Foundation
Udacity
June 24, 2026 – Present
Data Manipulation at Scale: Systems and Algorithms
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Apache Spark
edX
June 24, 2026 – Present
Machine Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Communicating Data Science Results
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background across several companies and roles, including organizing community events, which suggests a proactive and collaborative mindset. Their experience spans research, engineering, and architecture, indicating a broad interest and ability to adapt to different organizational needs. However, the recent shift to Privacy Engineering and Data Architecture might indicate a slight deviation from a pure ML Engineer focus, which could impact cultural fit for a highly specialized ML role without further clarification.
Soft Skills & Operational Fit
The candidate's experience as an organizer and in principal roles suggests strong leadership, communication, and collaboration skills. Their long tenure in various companies indicates stability and adaptability. The focus on large-scale systems and data pipelines aligns well with operational requirements for senior ML roles.