Summary
Julian Wong is an Applied AI/ML Software Engineer with 8 years' experience building reusable GenAI, machine learning and data science libraries for financial services and consumer agentic apps as personal projects. He blends full-stack frontend and backend development with production ML/Ops on Google Cloud, shipping containerised microservices, databases, CI/CD pipelines and RAG-enabled document AI systems. At Lloyds he designed an enterprise-grade document AI microservice and led MLOps and human-in-the-loop evaluation; he now applies that experience to applied AI/ML at JPMorgan Chase. Academically specialised in AI/ML from Imperial College London, he has hands-on experience fine-tuning LLMs, training deep learning models for text and vision, and deploying anomaly detection and recommendation systems. Equally comfortable on mobile and desktop, he has built consumer apps (including a shortlisted gamified iOS singing tutor) and performance analytics for elite motorsport, showing a knack for turning research into practical, user-facing products.
8 years of coding experience
1 year of employment as a software developer
Wah Yan College, Hong Kong
Master of Engineering, Computing (Artificial Intelligence and Machine Learning), First Class Honours, Master of Engineering, Computing (Artificial Intelligence and Machine Learning), First Class Honours at Imperial College London
GCE A-Levels, Maths, Further Maths, Physics, Chemistry, GCE A-Levels, Maths, Further Maths, Physics, Chemistry at Brighton College
English, Chinese, Chinese