Lawrence Wang
ML AI Engineer at TigerEye
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLawrence Wang is an ML/AI engineer with 11 years of experience building data-driven products and infrastructure across startups and large tech firms in the San Francisco Bay Area. He combines a PhD in Statistics with hands-on work shipping personalization models, ML infrastructure, and speech-to-code systems at companies like Pinterest, Serenade, Stripe, and Google. His strengths span NLP, graph/network analysis, modeling, experiment design, and production ML tooling (PyTorch, Spark, Airflow, AWS), and he enjoys digging into statistical and optimization problems. Notably, he has bridged academic research and applied engineering—developing statistical network tests in grad school and later operationalizing model training and evaluation pipelines in production. Currently at TigerEye, he focuses on teaching software to do data science, bringing both deep quantitative rigor and pragmatic system design to product teams.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics Statistics, Bachelor of Arts (B.A.) Mathematics Statistics at University of California, BerkeleyDoctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Carnegie Mellon University
Github Skills (12)
to-do8
statistical-inference7
java-bindings7
text-processing7
nlp6
natural-language-processing5
machine-learning5
parser4
inference4
tree-sitter4
java4
grammar3
Programming languages (2)
Github contributions (5)
sdfb/sdfb_network
Aug 2014 - Jun 2015
Contributions:189 commits, 3 pushes in 10 months
nlpweb-interfaceto-doinferencestatistical
enginuity/netcompSBM
Dec 2014 - Jan 2016
Contributions:45 commits, 8 pushes in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.