Chao Li
Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChao Li is a machine learning engineer with a PhD in Computational and Applied Mathematics and over 10 years of experience applying scientific computing and research rigor to real-world NLP problems. He led the transition to deep learning for CV/job parsing at Textkernel, building the first neural models for production information extraction and guiding multilingual embedding and sequence-labeling research. Currently at Meta, he combines strong scientific programming (Perl, Python) with hands-on expertise in LSTM/GRU/CNN architectures, CRF/HMM baselines, and domain-specific embedding strategies. His background in numerical simulation and Monte Carlo methods gives him a distinctive strength in designing and validating complex probabilistic models and scalable experiments. Colleagues rely on him for turning research prototypes into robust production systems and mentoring teams through technical adoption.
10 years of coding experience
10 years of employment as a software developer
Master, Scientific Computing, Master, Scientific Computing at Universiteit UtrechtDoctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Centrum WisKunde & Informatica (Center for Mathematics and Information Technology)
Github Skills (23)
phrases9
taxonomy7
keyword7
nlp5
python5
gensim5
word2vec4
classifier4
glossary4
tokenizer4
natural-language-processing4
rule4
schematron3
rule-based3
multiclass-classification3
Programming languages (3)
Github contributions (5)
tilaboy/tk-nn-classifier
Aug 2019 - Dec 2020
A general tool set to create a neural network classifier.
Contributions:6 PRs, 154 pushes, 21 branches in 1 year 4 months
classifierdeep-learningneural-networksmachine-learningneural-network
tilaboy/easy-tokenizer
Oct 2019 - Dec 2024
a rule based tokenizer
Contributions:1 PR, 523 pushes, 856 branches in 5 years 2 months
tokenizerrule-basedrule
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