Christian Cordova

Dallas, Texas, United States

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Summary

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Christian Cordova is an experienced data analyst and back-end developer based in Dallas with eight years working at the intersection of GIS and high-performance data tooling. He blends domain expertise in geosciences with hands-on engineering—contributing CUDA kernels and C++ implementations for point-in-polygon functionality in cuDF and adding feature and test coverage to the GPU-accelerated BlazingSQL engine. Skilled in Python, ArcGIS products, data cleaning, and test automation, he focuses on making spatial analytics faster and more reliable. Colleagues rely on his ability to translate geospatial problems into performant, production-ready code and repeatable tests.

8 years of coding experience

Bachelor of Arts - BA, Geological and Earth Sciences/Geosciences, Bachelor of Arts - BA, Geological and Earth Sciences/Geosciences at California State University, Fullerton

Stackoverflow

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Github Skills (15)

testing10

cuda10

unit-testing10

cudf10

c-language10

cpp10

cprogramming-language10

gpu10

data-structure9

data-structures9

algorithms9

expression8

expressions8

parse8

parsing8

Programming languages (5)

TypeScriptC++HTMLPythonCuda

Github contributions (5)

BlazingDB/blazingsql

Aug 2019 - Jul 2021

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Role in this project:

Back-end Developer

Contributions:22 reviews, 801 commits, 131 PRs in 1 year 11 months

Contributions summary:Christian primarily worked on the BlazingSQL codebase, contributing to unit tests and implementing new features. Specifically, the user added a new unit test to test kernel functionality, made the logging level configurable, and introduced support for the use of duration types in the expression tree. In addition, the user made changes to the ORC metadata and join functionalities.

cudfgpu-accelerationpythondata-sciencegpu

rapidsai/cudf

Apr 2019 - May 2019

cuDF - GPU DataFrame Library

Role in this project:

Back-end Developer & Test Automation Engineer

Contributions:27 commits, 2 PRs, 70 comments in 28 days

Contributions summary:Christian's primary contribution involves the implementation and testing of a point-in-polygon (PIP) algorithm within the cuDF library. Their work includes writing C++ code, developing a CUDA kernel for the PIP calculation, and creating test cases to validate the algorithm. The commits demonstrate a focus on geographical information systems (GIS) functionalities, with the addition of the core function `point_in_polygon` and corresponding test suites. This is further supported by changes in the build system.

cudadataframe-librarydata-analysiscppcudf

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