Jacob Wasserman

Software Engineer at Meta

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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Top School
Jacob Wasserman is a software engineer with 12 years of experience building backend systems and geospatial tooling, currently based in Cambridge, MA and working at Meta. He co-founded Mapkin and led its acquisition by MapQuest, where he then served as Principal Engineer building navigation SDKs and backend services. His open-source contributions include substantial backend and testing work on high-profile geospatial projects like Presto, GeoPandas, and Shapely—adding functions, refactoring core enums, and improving PostGIS test infrastructure. He also contributes to performance-oriented Rust tooling (Rayon), demonstrating comfort across languages and a focus on parallelism, geometry, and robust test automation. Combining product-led startup experience with defense research at MIT Lincoln Laboratory, he brings a rare mix of algorithmic rigor and shipping-focused engineering. A background in physics underpins his analytical approach to complex distributed and spatial computing problems.
code13 years of coding experience
job14 years of employment as a software developer
bookFreehold Township High School
bookBachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Boston University
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Github Skills (34)

sql-query10
postgresql10
python10
data-set10
testing10
pandas10
geopandas10
data-parallel10
big-data10
geospatial10
database-testing10
java10
data-model10
javas10
data-parallelism10

Programming languages (10)

TypeScriptMDXJavaC++RustCAstroJavaScript

Github contributions (5)

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geopandas/geopandas

Sep 2013 - Sep 2015

Python tools for geographic data
Role in this project:
userBackend Developer & QA Engineer / Test Automation Engineer
Contributions:63 commits, 2 PRs, 6 comments in 2 years
Contributions summary:Jacob contributed significantly to the testing infrastructure of the geopandas library. Their work involved implementing tests for the `read_postgis` function, including setting up a local PostGIS database and creating test data. They also refactored test setup and added documentation related to database testing. Further contributions include renaming a function and refactoring the IO of the library.
pythongeoparquetgeospatialpandasspatial
shapely/shapely

Jan 2014 - Apr 2015

Manipulation and analysis of geometric objects
Role in this project:
userBack-end Developer & Test Automation Engineer
Contributions:26 commits, 1 PR, 17 comments in 1 year 3 months
Contributions summary:Jacob primarily contributed to the core functionality of the Shapely library by enabling new features for constructing and manipulating geometric objects. They implemented the ability to construct `LineString` objects from arrays of `Point` objects and coordinate tuples, improving the library's flexibility. Additionally, the user added new tests for Delaunay triangulation and expanded the testing suite to cover the new features, ensuring the library's reliability and robustness. Furthermore, the user updated code to ensure the speedups can be applied correctly.
manipulationgeometricpythongeometry
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