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Ng Zi Location
Singapore
Ng Zi Work
Software Engineer @ (January 2026 - Present)
Software Engineer @ (August 2026 - October 2026)
Software Engineer @ (August 2025 - August 2026)
AI Engineering and Applied Data Science @ (August 2025 - July 2026)
Frontend Developer @ (August 2025 - July 2026)
Back End Developer @ (August 2025 - July 2026)
Full Stack Software Engineer @ (May 2025 - August 2025)
Project Lead @ (September 2023 - July 2025)
Private Tutor @ Self-employed (November 2022 - June 2025)
Executive Trainee @ (January 2023 - July 2023)
Intern @ (November 2020 - January 2021)
Ng Zi Education
National University of Singapore
Bachelor of Computing (Honours) (Computer Science)
2023-2027
NUS College
Multi-/Interdisciplinary Studies (General)
2023-2027
Raffles Institution 2021-2022
Raffles Girls' School 2017-2020
Gan Eng Seng Primary School 2011-2016
Ng Zi Skills
AI Engineering
Agile Methodologies
Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Applied Data Science
Artificial Intelligence (AI)
Back-End Web Development
Big Data
Business Ethics
C#
Causal Artifical Intelligence
Communication
Cross-functional Team Leadership
Cybersecurity
Data Pipelines
Django
Event Management
Event Planning
Firebase
Front-End Design
Full-Stack Development
Game Design
Game Development
Generative AI
HTML
Hadoop
Information Security
Java
JavaScript
Kubernetes
Large Language Models (LLM)
Machine Learning
Model Evaluation
Programming
Project Coordination
Project Management
Prompt Engineering
Python
React.js
Secure Authentication
Software Project Management
Strategic Communications
Synthetic Data
Tailwind CSS
Team Coordination
Teamwork
Technical Leadership
Unity
Video Production
Web Design
Web Development
Ng Zi Summary
Ng Zi, based in Singapore, is currently a Software Engineer at Women in Tech @ NUS Computing. Ng Zi brings experience from previous roles at Binance, NUS Overseas Colleges and Simulacra Synthetic Data Studio. Ng Zi holds a 2023 - 2027 Bachelor of Computing (Honours) in Computer Science @ National University of Singapore. With a robust skill set that includes AI Engineering, Agile Methodologies, Amazon Web Services (AWS), Apache Kafka, Apache Spark and more.
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