SWE Intern @ Eureka Robotics | AI/ML Engineer | Builder of EdTech, Productivity, and Platform Solutions
I'm a passionate software developer from Singapore, currently in my final year at Nanyang Technological University (Computer Science). I specialize in building robust, scalable, and intelligent applications, from AI-driven learning platforms and recommendation systems to full-stack web and mobile apps.
- Languages: TypeScript, Python, JavaScript, C#, Java, SQL, Jupyter, CSS
- Frameworks: Next.js, React, FastAPI, Django, Unity, Tailwind, Celery, Docker
- Databases: Supabase/PostgreSQL, Redis, SQLite
- AI/ML: LLM API Integration, TensorFlow, LangChain, NLP, Recommendation Systems
- DevOps & Tools: Git, Vercel, Docker, GCP, REST APIs, AWS
🚀 Featured Projects
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"Title Currently in the Works"
Founder, Technical Lead
Built an AI-powered, next-gen educational platform that turns any topic into a personalized learning journey. More information coming soon. -
GroceryGrabber
Team Lead, Mobile & Backend Developer
Tackled Singapore’s food waste by connecting consumers with supermarkets to surface expiring products in real time. Built dynamic inventory management, Google Maps integration for finding deals, and GPT-powered receipt scanning. Finalist at DSTA’s CODE_EXP. Features recipe suggestions, real-time supermarket inventory feeds, and climate impact tracking [Python, JavaScript, React Native, Google Maps, OpenAI]. -
Port Downtime & Freight Predictor (PSASprint)
ML/Backend Engineer
Created TensorFlow models and Django APIs to forecast real-world shipping disruptions for global logistics, with a React dashboard for visual insights. Empowering supply chain resilience with real-time analytics [Python, Django, TensorFlow, React]. -
nGoDonate
Developer/Researcher
Designed and implemented a decentralized system for promoting transparency in charitable funding using the XRP Ledger. Focused on transparency, security, and seamless user experience. Integrated blockchain logic, wallet connections, and developed demos for practical adoption [XRPL, Web3, Hooks]. -
Emotion-Aware Sentiment Analysis
NLP/AI Research
Created emotion classification models using LSTM/transformers, data engineering with Kaggle/HuggingFace, and novel interfaces for user feedback [Python, LangChain].
