i'm a final year applied artificial intelligence student at singapore institue of technology (SIT), i have a passion for exploring ai technologies to create innovative solutions that address real-world challenges. i enjoy exploring the intersection of ai and software development, and i'm constantly seeking opportunities to learn and grow in this dynamic field.
Python
JavaScript
C#
C
R
TypeScript2023 - Present (2026 Expected Graduation)
Final year student specializing in AI technologies, machine learning, and software development. Focused on creating innovative solutions that address real-world challenges.
2019 - 2021
Learned concepts in game development. Developed skills in programming, software engineering, and IT fundamentals. Completed projects involving Unity and C# programming.
2025 - Present
Worked on developing a RAG Agentic Chatbot using locally hosted Large Language Models (LLMs) to help safety engineers with their daily tasks. Implemented document retrieval systems and fine-tuned models for enhanced performance.
2020 - 2021
Assisted in data analysis and visualization projects. Gained experience in Python programming, data cleaning, and statistical analysis. Collaborated with a team to deliver insights for various clients.
A web application that translates speech from videos into multiple languages. It utilizes FFmpeg to extract audio from videos, WhisperAI for speech-to-text conversion, and Google Translate API for translating and finally Google Text-to-Speech to generate translated audio. All these components are integrated into a user-friendly interface using Gradio.
A competition project from IEEE SP CUP 2025 where my team and I were tasked to finetune a model to detect deepfakes in images using computer vision and deep learning techniques. We utilized TensorFlow to finetune our chosen model ResNet, achieving high accuracy in identifying manipulated images.
This personal portfolio website built to learn Angular It features a modern design, responsive layout, and smooth animations to provide an engaging user experience.
A Hackathon where my team and I explored solutions to find the best way for an open-source solution to find out details of a video using a VLM (Vision Language Model). We developed a prototype using LLaVA VLM hosted on Google Colab that can analyze TikTok videos and provide detailed descriptions and insights about the content. While we didn't get the best scores, it was a great learning experience working with VLMs and understanding their potential applications.
Developed a domain-specific AI advisory system to support engineers in performing machine safety risk assessments and selecting appropriate safety solutions. The system leverages Retrieval-Augmented Generation (RAG) and agent-based reasoning to interpret safety standards, assess hazards, and guide structured form completion. My work focused on data ingestion, retrieval design, prompt orchestration, and evaluation of response quality in a real-world industrial setting.
An AI assistant that is designed to interact with users through a human avatar. The avatar is able to mimic the singaporean accent and used for customer services. The system utilizes a combination of computer vision, natural language processing, and speech synthesis technologies to create a realistic and engaging user experience.