AI & Machine Learning Enthusiast. Graduate Student at the University of Melbourne. I do TikTok content about my student journey!
About
I'm a software developer and product builder with a Master of Information Technology, majoring in Artificial Intelligence, from The University of Melbourne.
My background spans software development, machine learning, natural language processing, and AI-powered applications. I enjoy building products from the ground up and exploring how AI and emerging technologies can be applied to solve real-world problems.
I'm currently building PhuketLocal, an experiential travel and booking platform that combines local experiences with an AI-powered trip planner. I've also developed projects such as ParkPie, an AI-powered mobile parking application.
I'm particularly interested in software development, machine learning, and building practical AI-powered products.
Work Experience
Skills
Machine Learning / AI
Languages
Check out my latest work
I've worked on my personal projects.
I like building models
A selection of machine learning models, research experiments, and applied AI systems I've built and explored across my career. Each project has been an opportunity to train models, fine-tune architectures, and turn AI research into practical solutions.
- L
Llama-3.2-3B-SaaS-Support-GGUF
Hugging Face
Published a Llama 3.2 3B Instruct model fine-tuned for SaaS customer support interactions. Quantized to GGUF format for efficient local inference. - U
Understanding Severe Crashes
University of Melbourne
Built an interactive Tableau dashboard to analyze how weather, time, vehicle age, and intersections influence severe crash risks in Victoria. - I
Investigating Social Living Arrangements with NLP
University of Melbourne
Applied NLP techniques on MIMIC-III discharge notes to infer patient living status (alone vs. not alone). Compared TF-IDF + Logistic Regression with BERT. - A
Automated Fact-Checking with Transformers
University of Melbourne
Built an automated fact-checking system for climate-related claims. Combined Sentence Transformers + FAISS for retrieval with BERT for classification. - P
Predicting Supreme Court Rulings
University of Melbourne
Explored Decision Trees and Random Forests for predicting US Supreme Court appeal outcomes.
Study Materials
Comprehensive notes from my AI & ML journey. Battle-tested materials I created and refined through my studies.
Complete AI/ML Notes Bundle
Get all 5 comprehensive study notes in one package! Save $16 when you buy the complete collection covering all essential AI/ML topics.
Introduction to Machine Learning
Foundational machine learning concepts including supervised learning, unsupervised learning, model evaluation, and optimization techniques.
Or explore other notes here
Get in Touch
Want to chat? Just shoot me a dm with a direct question on TikTok , I like to respond to whoever has the same interests
For work inquiries, reach me directly at tanchao.ai@gmail.com
