Robert Sharp
Staff Applied Scientist at Thumbtack
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRobert Sharp is a Staff Applied Scientist in San Francisco with 11 years of experience designing, building, and deploying ML and optimization systems for marketplaces. He has led pricing, matching, simulation, and experimentation efforts—tackling hard problems like network interference and real-time rider/driver incentives at Uber and product-wide optimization at Thumbtack. Equally comfortable in research and delivery, he combines hands-on algorithm development with experiment design, product analysis, and cross-functional project leadership. About half his time is spent originating projects and coordinating prioritization, while the other half is guiding teammates to ensure measurable business impact. Trained in mathematics and economics at Penn, he brings a quantitative rigor and a knack for turning simulation insights into production decision systems. An implied strength is translating complex economic models into scalable ML pipelines that drive revenue and operational efficiency.
11 years of coding experience
9 years of employment as a software developer
York Suburban Senior High SchoolBachelor of Arts (B.A.) Mathematics Economics, Bachelor of Arts (B.A.) Mathematics Economics at University of Pennsylvania
Github Skills (18)
public-transport6
gtfs6
deep-learning5
transit5
machine-learning5
transit-data5
gradient-boosting4
cursor3
machine-learning-models3
databricks2
shap2
shapley2
python2
claude2
object-pooling1
Programming languages (3)
Github contributions (5)
XtremeCurling/evol_pris_dilem
Jan 2015 - Jun 2018
Contributions:19 commits, 16 pushes in 3 years 5 months
XtremeCurling/nextbus2pg
Mar 2018 - May 2018
Contributions:2 PRs, 44 pushes, 7 branches in 2 months
postgres-databasevehiclelocationdatabasepostgres
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