Robert Sharp

Staff Applied Scientist at Thumbtack

San Francisco, California, United States
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Summary

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Senior
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Top School
Robert 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.
code11 years of coding experience
job9 years of employment as a software developer
bookYork Suburban Senior High School
bookBachelor of Arts (B.A.) Mathematics Economics, Bachelor of Arts (B.A.) Mathematics Economics at University of Pennsylvania
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Github Skills (17)

deep-learning6
machine-learning6
gtfs5
gradient-boosting4
python3
shap3
transit-data3
transit3
shapley2
public-transportation2
sqlalchemy2
object-pooling1
postgresql1
pooling1
orm1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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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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Robert Sharp - Staff Applied Scientist at Thumbtack