Shao-Heng Tai
Backend EngineerML@Grab
Grab
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML@Grab
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
National Chiao Tung University
Master's degree, Electrical, Electronics and Communications Engineering
January 1, 2013 – January 1, 2015
Carnegie Mellon University
Undergraduate Exchange Student, Electrical and Computer Engineering
January 1, 2013 – January 1, 2013
National Chiao Tung University
Bachlor, Electronics Engineering
January 1, 2009 – January 1, 2013
Grab
Lead Backend Engineer (ML Serving, AI Platform Team)
April 1, 2026 – Present
Grab
Senior Machine Learning Engineer (ML Serving, AI Platform Team)
September 1, 2022 – April 1, 2026
Grab
Senior Machine Learning Engineer (Dispatch Data Science)
August 1, 2020 – September 1, 2022
Umbo Computer Vision
External Collaborator
June 1, 2020 – August 1, 2020
Umbo Computer Vision
AI and Infrastructure Engineer
November 1, 2016 – May 1, 2020
National Chiao Tung University
Graduate Researcher
June 1, 2013 – October 1, 2015
Hsinchu, Taiwan
IBM
Student Intern
July 1, 2012 – August 1, 2012
Taiwan
Google Cloud Platform - Associate Cloud Engineer
Google Cloud Platform Certified
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has significant experience in a large, fast-paced tech company (Grab) and a startup (Umbo Computer Vision), indicating adaptability to different work environments. Their roles in AI Platform and ML Serving suggest a focus on building foundational systems, which aligns with a backend engineering role that supports data science and machine learning initiatives. The academic background and exchange program at Carnegie Mellon University suggest a strong drive for learning and exposure to diverse environments. However, the lack of detailed project descriptions or community involvement limits a deeper cultural fit analysis.
Soft Skills & Operational Fit
The candidate's experience as a Lead Backend Engineer and Senior Machine Learning Engineer at Grab suggests strong leadership, problem-solving, and collaboration skills. The description of designing and building platforms and observability stacks indicates a proactive and ownership-driven approach. However, without specific soft skill assessments or project details, a definitive operational fit assessment is limited.