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Software engineer at Meta
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 University of Singapore
Bachelor’s Degree, Mechanical Engineering
January 1, 2014 – January 1, 2018
Meta
Software Engineer
November 1, 2024 – Present
Bellevue, WA · On-site
Enterprise Engineer
February 1, 2022 – November 1, 2024
Singapore · On-site
ByteDance
Software Engineer
May 1, 2020 – January 1, 2022
Singapore
Niometrics
Frontend Web Developer
September 1, 2019 – May 1, 2020
Singapore
Amaris.AI Pte Ltd
Data Science Intern
September 1, 2018 – December 1, 2018
Singapore
Graymatics
Deep learning intern
January 1, 2018 – June 1, 2018
Singapore
PHD
Media Executive
May 1, 2017 – July 1, 2017
Singapore
Siemens PLM Software
Sales and Marketing Intern
May 1, 2016 – July 1, 2016
Singapore
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Python for Data Science and Machine Learning Bootcamp
Udemy
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
6.00.1x: Introduction to Computer Science and Programming Using Python
Massachusetts Institute of Technology
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background across various tech companies (Meta, ByteDance, Niometrics) and roles (Software Engineer, Enterprise Engineer, Frontend Developer, Data Science Intern, Deep Learning Intern). While the recent experience is heavily backend and infrastructure-focused, the earlier internships and certifications show an interest in data science and machine learning. The target role is ML Engineer, which is a shift from their primary software engineering roles. This indicates a potential for cultural fit if the candidate is genuinely looking to transition and grow in ML, but their core experience is not directly in ML engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing storage, improving reliability, and leading migration projects. Their experience at large tech companies like Meta and ByteDance suggests an ability to work in fast-paced, complex environments and contribute to critical systems. The descriptions indicate a focus on impact and efficiency.