"Building data-driven systems that solve real-world problems."
- Engineering: Java, Python, Scala, and SQL.
- AI & Data: End-to-end Machine Learning pipelines and Financial Sentiment Analysis (FinBERT).
- Full-Stack: Svelte, TypeScript, and Supabase.
- Performance: 3.81 CGPA and a 2x National Hackathon Finalist.
ποΈ Featured Project: Gold AI Quant System
An automated algorithmic trading engine blending Ensemble ML models with real-time NLP sentiment to navigate the gold market.
- Email: limjiaxuan1357@gmail.com
- LinkedIn: Jia Xuan Lim
- Status: Seeking high-impact roles in AI, Data, or Software Engineering.
