Constance Li
GenAI Field Solution Architect at Google
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolConstance Li is a GenAI Field Solution Architect with 12 years of experience applying mathematical rigor to production data and ML systems across cloud platforms. Trained as a mathematician (Master’s, University of Melbourne) she blends probabilistic modelling, high-dimensional analysis and MLOps to ship scalable solutions using Azure, AWS and GCP tooling. At Microsoft and Deloitte she built production CI/CD model pipelines, optimized PySpark ETL to cut runtimes by ~70%, and deployed SageMaker-backed recommender systems; she now focuses on bringing generative AI into customer workflows at Google. Comfortable in Python, Scala, Julia and MATLAB, she pairs deep theoretical skills (stochastic calculus, MCMC, combinatorics) with pragmatic engineering—automating reporting with Prefect and S3, and applying CNN transfer learning to satellite imagery. Colleagues value her ability to translate complex math into reliable cloud-native services and to upskill teams through hands-on enablement.
12 years of coding experience
4 years of employment as a software developer
The University of MelbourneBachelor of Science (Honors Degree) Mathematics and Applied Mathematics, Bachelor of Science (Honors Degree) Mathematics and Applied Mathematics at Zhejiang University
English, Chinese
Github Skills (31)
sink10
json9
avro9
producer9
daemon9
maxwell9
kafka-producer8
scala8
cdc8
mysql7
css7
kafka7
cryptography7
encryption7
crypto7
Programming languages (3)
Github contributions (5)
DorryIT/Stollen
Aug 2017 - Feb 2018
Contributions:2 releases, 65 PRs, 114 pushes in 6 months
solra/playground
Feb 2015 - Feb 2016
Contributions:40 pushes, 1 branch in 1 year
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