I am a first-year Computer Science student at the National University of Singapore (GPA: 4.75/5.00) with hands-on experience building AI-powered applications across five competitive hackathons in the past year alone. My technical focus spans large language model integration, computer vision, and full-stack development — with Python, FastAPI, Next.js, PyTorch, and OpenCV forming the core of my working stack. At The Merge Hackathon 2026, my team placed in the Top 20 out of all participating teams, where I architected Nexus — an AI study companion built around a Retrieval-Augmented Generation pipeline for context-aware academic coaching, backed by a FastAPI server and a Next.js frontend. This gave me end-to-end experience shipping an LLM-powered product under real constraints, from embedding and retrieval design through to deployment. At NTU Beyond Binary 2026, I engineered SignMeUp, a multimodal safety suite that combined MediaPipe gesture recognition for real-time emergency alerts with a computer vision monitoring module powered by the Gemini API. At Hack4Good 2026, I built an LLM-based chatbot using Hugging Face models to facilitate empathetic communication between caregivers and elderly recipients, refining prompt engineering strategies to ensure consistently high response quality. At Hack & Roll 2026 (organised by NUS Hackers), I developed a real-time computer vision system using YOLOv8 and OpenCV to detect sleeping students and trigger automated alerts. Most recently, at the Maritime Hackathon 2026, I served as Technical Lead on a data-driven logistics optimisation project, applying Python, Pandas, and SQL to streamline maritime supply chain workflows. Beyond hackathons, I hold certifications in AWS Cloud Practitioner, Databricks AI/BI, GitHub Foundations, and Docker, and have practical experience with PostgreSQL, NumPy, and Linux environments. I am comfortable working independently on well-scoped deliverables, communicating clearly with non-technical stakeholders, and iterating quickly based on feedback — skills I have developed through leadership roles at NUS and my prior service as a Signals Commander in the Republic of Singapore Air Force. I bring both the technical depth to build robust AI and full-stack solutions, and the project ownership mindset to see them through from first prototype to final delivery.…I am a first-year Computer Science student at the National University of Singapore (GPA: 4.75/5.00) with hands-on experience building AI-powered applications across five competitive hackathons in the past year alone. My technical focus spans large language model integration, computer vision, and full-stack development — with Python, FastAPI, Next.js, PyTorch, and OpenCV forming the core of my working stack. At The Merge Hackathon 2026, my team placed in the Top 20 out of all participating teams, where I architected Nexus — an AI study companion built around a Retrieval-Augmented Generation pipeline for context-aware academic coaching, backed by a FastAPI server and a Next.js frontend. This gave me end-to-end experience shipping an LLM-powered product under real constraints, from embedding and retrieval design through to deployment. At NTU Beyond Binary 2026, I engineered SignMeUp, a multimodal safety suite that combined MediaPipe gesture recognition for real-time emergency alerts with a computer vision monitoring module powered by the Gemini API. At Hack4Good 2026, I built an LLM-based chatbot using Hugging Face models to facilitate empathetic communication between caregivers and elderly recipients, refining prompt engineering strategies to ensure consistently high response quality. At Hack & Roll 2026 (organised by NUS Hackers), I developed a real-time computer vision system using YOLOv8 and OpenCV to detect sleeping students and trigger automated alerts. Most recently, at the Maritime Hackathon 2026, I served as Technical Lead on a data-driven logistics optimisation project, applying Python, Pandas, and SQL to streamline maritime supply chain workflows. Beyond hackathons, I hold certifications in AWS Cloud Practitioner, Databricks AI/BI, GitHub Foundations, and Docker, and have practical experience with PostgreSQL, NumPy, and Linux environments. I am comfortable working independently on well-scoped deliverables, communicating clearly with non-technical stakeholders, and iterating quickly based on feedback — skills I have developed through leadership roles at NUS and my prior service as a Signals Commander in the Republic of Singapore Air Force. I bring both the technical depth to build robust AI and full-stack solutions, and the project ownership mindset to see them through from first prototype to final delivery.WWWW…