Jinbao Liu
Undergraduate, BSc Computing and Software Systems
University of Melbourne
About
I am an undergraduate studying Computing and Software Systems at the University of Melbourne. In 2026 I am spending a short term at Zhejiang University as an exchange student.
My interests are machine learning (particularly NLP) and quantitative research in decentralized markets.
Education
- 2024 — Present
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BSc, Computing and Software Systems
University of Melbourne - 2026
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Short-term Exchange
Zhejiang University
Projects & Competitions
Kaggle Competitions Machine learning competitions on Kaggle. 2025 —
Kaggle Competitions Expert Ranked 2,033 of 217,449
I take part in machine learning competitions on Kaggle. Best results so far:
- MAP – Charting Student Math Misunderstandings
- AI Mathematical Olympiad – Progress Prize 3
Quantization and pruning of large models Compressing large models for cheaper inference. 2026
I work on making large models cheaper to run, mainly through quantization and pruning.
For Step-3.5-Flash I applied REAP pruning, reducing the model from 196B to 128B parameters. The run used four H200s.
Quantization · REAP · MoE pruning · H200
Step-3.5-Flash-REAP-128B-A11B on Hugging FacePruning code on GitHub
Curated datasets Datasets I built and cleaned for training and evaluation. 2025 —
Datasets I built and cleaned, grouped by what they were for:
AIMO3
Olympiad-style problems, put into a form a model can be trained and evaluated on for the AI Mathematical Olympiad.
Deep Past Challenge — Translate Akkadian to English
The task starts from photographs of cuneiform tablets, so clean text has to come out of the images before any translation can happen.
ARC-AGI
Recorded to study reasoning from human play, using small PuzzleScript games as a controllable environment. I have not had the time to take it further.
Fine-tuning data for an open K-line prediction model, across several markets and sampling frequencies.
vLLM · OCR · OHLCV · Data cleaning
Contact
Reach me at jinb.liu@outlook.com.
Melbourne, Victoria, Australia