Applied AI Student & DeveloperSingapore

Edson Ng

I build AI systems that work in the real world — from computer vision apps to LLM-powered tools.

I'm studying Applied Artificial Intelligence at Singapore Institute of Technology, building on a diploma in IT with an AI specialisation from Nanyang Polytechnic. I work across the full stack — mobile apps, computer vision models, LLM pipelines, and web interfaces. Outside of projects, I teach coding to schools and communities through Codeezy using Minecraft Education.

Index

CMachine LearningC++Large Language Models (LLMs)C#OCRPythonJavaAI ExperimentationJavaScriptHTML & CSSPHPSQLDartRFlaskNode.jsFlutterASP.NETAngularTensorFlowPyTorchscikit-learnKerasOpenCVUltralytics YOLOStreamlitComputer VisionLLMs

Projects & Events

04 entries
01

Research Paper Chatbot (LLM)

Built an AI-powered chatbot that ingests research papers and answers complex questions about them. Implemented a high-performance retrieval system for accurate information delivery and a Streamlit interface supporting multi-document uploads and interactive analytics.

Python / LLMs / Streamlit / RAG / Retrieval SystemsRead →
02

Landmark Detection Mobile App (Computer Vision)

Built a mobile app for real-time identification of Singapore landmarks using on-device AI. Optimised models for mobile deployment so the app runs fast without an internet connection.

Flutter / Computer Vision / Ultralytics YOLO / OpenCVRead →
03

Symptom Analyser & Acne Recognition (Computer Vision)

Created a two-part diagnostic system: a symptom analyser that suggests potential medical conditions, and an image-based tool that assesses skin conditions and severity using computer vision.

Computer Vision / Python / OpenCV
04

Hackrift 2025 — SITech Developers Club

Participated in Hackrift 2025, organised by SITech Developers Club. Prototyped a community-based AI healthcare pod designed for accessible residential medical screening.

Python / AI/ML

Experience

06 entries
01

Industrial Training Placement (ITP) at A*STAR

Conducted OCR and LLM experimentation to identify the most effective approach for extracting serial numbers using the Zebra TC22 mobile device.

Produced a comparative evaluation of OCR vs. LLM-based extraction methods in an industrial scanning context.

OCR / LLMs / Zebra TC22
02

BSc Applied Artificial Intelligence — Singapore Institute of Technology

2nd-year undergraduate student studying Applied Artificial Intelligence at SIT, Singapore.

03

Bachelor of Science in Applied Artificial Intelligence — Singapore Institute of Technology

Undergraduate degree in Applied AI at SIT, Singapore.

04

Diploma in Information Technology (Specialisation in AI) — Nanyang Polytechnic

Three-year diploma in Information Technology with a specialisation in Artificial Intelligence at Nanyang Polytechnic, Singapore.

05

Instructor — Codeezy

Teach coding concepts and computational thinking to schools and communities using Minecraft Education's game-based learning platform. Translate complex technical ideas into formats accessible to young and non-technical learners.

Minecraft Education
06

Junior Engineer Intern — Tech Dynamic Pte Ltd

Served as Assistant Project Manager for the PDLP initiative, managing site planning for engineering teams. Scheduled school site surveys and UAT sessions, liaised with HOD-ICT for approvals, assigned tasks to engineers, and documented post-survey reports. Also configured SNMP protocols across multiple sites.

SNMP