Handa Yang
Sr. Director, Finance Systems Engineering at Lennar
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolHanda Yang is a senior finance systems engineering leader in the San Francisco Bay Area with eight years of experience building production ML and data systems across startups and enterprise environments. With a Ph.D. in Mechanical Engineering from UC San Diego, she brings research-grade rigor—having led teams that improved weather and cloud-prediction models and productionized forecasting modules—to applied AI work at Autodesk, TigerEye, and now Lennar. She combines hands-on ML engineering and real-time data pipeline expertise with strategic systems leadership, driving scalable, high-performance solutions for finance and operational domains. An uncommon blend of academic research and product engineering, she has delivered >300x speed-ups in style-transfer pipelines and led cross-disciplinary teams to ship commercial software for energy operations.
8 years of coding experience
13 years of employment as a software developer
University of California, San DiegoBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Auburn University
Github Skills (29)
rest7
parsing7
api7
rest-api7
api-documentation6
pure-python6
swagger6
openapi5
swagger-ui5
pdf5
annotations5
python5
code-generator5
open-source4
redoc4
Programming languages (2)
Github contributions (5)
hyangda/fast-deep-photo-style-transfer-tf
Jun 2018 - Jul 2018
Contributions:34 commits, 31 pushes, 1 branch in 1 month
hyangda/deep-photo-styletransfer-tf
Jun 2018 - Jan 2019
Tensorflow (Python API) implementation of Deep Photo Style Transfer
Contributions:2 pushes, 1 branch in 7 months
apipythonstyle-transferoptical-flowgenerative-adversarial-network
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