I enjoy breaking down complex problems, understanding them, and turning them into clean, reliable, and explainable AI systems

I hold a Master's degree in Information Technology (Artificial Intelligence) from UNSW, and most of my work sits at the intersection of data management, machine learning, AI system design, and real-world applications

• Designing end-to-end AI systems, from data preparation to deployment
• Building LLM-powered applications with clear structure and controllable behavior
• Applying machine learning and reinforcement learning to practical decision-making problems
• Writing code that is readable, reproducible, and production-aware

A personal knowledge assistant that helps querying and reasoning over your own notes

• Retrieval-Augmented Generation (RAG)
• Hugging Face embeddings + FAISS vector search
• Memory-safe file ingestion for large notes
• Configurable LLM backends and environment-driven design

A full-stack machine learning application that predicts salaries and shows dynamic diagram of the relationship between preditcted result and the whole dataset

• Data Preprocessing & Feature Engineering
• Model Selection & Hyperparameters Optimization
• Data Visualization
• Frontend UI + Backend API + Database Integration

An experimental project for suggesting the behaviors (sell/buy/hold) in stock market based on historical trend

• Q-learning / SARSA / Deep Q-learning / Deep SARSA
• Reward design & policy behavior analysis
• Performance visualization and comparison

• fine-tuning
• steering
• rag grounding

Languages:

Database:

Frontend:

Backend & API:

Dev tools & Environment:

ML/Data Frameworks & Libraries:

• Data Scientist
• ML Engineer
• AI Engineer