Eitan Liú
Melbourne, Victoria, Singapore
Summary
👤
Senior🎓
Top SchoolEitan Liú is a quantitative developer and machine learning engineer with 10 years of experience building end-to-end ML systems across NLP, recommender systems, and quantitative finance. He has repeatedly taken projects from 0 to 1—designing data warehouses and real-time pipelines, deploying models to production, and even implementing a FIX-based OMS in C++. His background spans full-stack ML work: model research (PyTorch/TF), large-scale ETL (Spark/Hive), retrieval/ANN systems (FAISS, Milvus), and production infra (K8s, gRPC, Pulsar). Notable wins include boosting recommender metrics substantially at Evernote, leading LLM distillation and MapReduce-style summarization work in medical NLP, and improving campaign metrics in crypto trading products. Comfortable coding in Python and C++ (with Java/SQL/Rust exposure), he brings both research rigor and hands-on engineering to bridge models into reliable, monitored production systems. Based in Melbourne and open to challenging quant/ML problems, he maintains an active GitHub with reproducible projects that underscore his interest in efficient distributed training and model compression.
9 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Applied Mathematics, Bachelor's Degree, Applied Mathematics at Wuhan UniversityMaster of Science (MS), Statistics, Master of Science (MS), Statistics at University of Virginia
Chinese, English
Github Skills (10)
embedding7
agent5
multimodal5
lora5
distill4
unity3d4
llm3
peft2
llama2
rft1
Programming languages (3)
Github contributions (5)
liuzongdong/teaching-assignment-system
Oct 2017 - Nov 2018
Contributions:2 PRs, 23 pushes, 2 branches in 1 year
reactteachingjavascriptteaching-systemuic
liuzongdong/Research-Office-System
Jun 2017 - Jan 2018
Contributions:33 pushes, 1 branch in 6 months
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