Li Ge is a data engineer and scientist with 11 years of experience applying statistical modeling, machine learning, and large-scale data engineering to research and industry problems. With a Master's in Physics from UIC, Li has translated rigorous quantitative training into production-ready pipelines—building ETL systems, parsing XML into databases, and prototyping Python applications that integrate MySQL, NoSQL, and Hadoop/MapReduce. Past roles span biophysics and high-energy physics research, national-scale data mining leadership, and applied NLP and ML (Bayesian methods, SVM, random forests) for practical analytics. Comfortable across Python, R, SAS, SQL, C++ and data tooling like Scrapy and Hadoop, Li combines deep statistical expertise with hands-on engineering to reduce redundancy and turn messy data into actionable reports. Notably, Li has a track record of publishing research-quality analyses while also delivering operational automation and web-scraping solutions in production environments.
10 years of coding experience
7 years of employment as a software developer
Master's Degree, Physics, Master's Degree, Physics at University of Illinois at Chicago
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Huangzhong University of Science and Technology
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:11 reviews, 1 PR, 16 comments in 4 days
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