Jeffrey Tratner
VP Of Software Engineering - R&D Platform
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJeffrey Tratner is a seasoned engineering leader with 14 years of experience building R&D platforms and bioinformatics software, currently serving as VP of Software Engineering for Myriad Genetics in San Francisco. He blends hands-on backend and QA expertise—demonstrated by contributions to high-profile open-source projects like geopandas, pipenv, and pandas—with a focus on test automation and robust developer tooling. Jeffrey excels at creating empowered, cross-functional teams that own their work and scale scientific discovery through thoughtful platform design. Known for pragmatic problem solving, he often bridges the gap between research needs and production reliability, and has a track record of improving test suites and developer workflows to accelerate innovation.
14 years of coding experience
11 years of employment as a software developer
A.B., A.B. at Brown UniversityLower Merion High School
Spanish
Stackoverflow
16,688reputation
1.9mreached
163answers
27questions
nested-loops
top-1%
pip
top-1%
flask
top-5%
python
top-1%
matplotlib
top-5%
csv
top-5%
Github Skills (29)
python10
list-comprehension10
testing10
packaging10
command-line-interface10
geopandas10
pandas10
geospatial10
virtualenv10
command-line10
pip10
nested-loops10
shapely10
test-automation10
cli10
Programming languages (12)
Github contributions (5)
pandas-dev/pandas
Jun 2013 - May 2017
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:251 commits, 1 PR, 14 comments in 4 years
Contributions summary:Jeffrey primarily focused on fixing and improving test cases within the pandas library. They addressed error messages, missing imports, and indentation issues, which improved the reliability and accuracy of the testing suite. The commits demonstrate a clear focus on ensuring the quality of the pandas library by identifying and correcting defects in the test code.
pythondatalabeled-datamanipulationdataframes
pypa/pipenv
Feb 2018 - Apr 2018
Python Development Workflow for Humans.
Role in this project:Back-end Developer
Back-end DeveloperContributions:30 commits, 21 PRs, 1 push in 1 month
Contributions summary:Jeffrey primarily contributed to the `pipenv` project by implementing features related to command-line interface enhancements and improving the internal workings of the tool. They added a verbose mode, optimized hashing operations for efficiency, and provided Conda integration support. The user's commits included adjustments to core Python files and updates to documentation.
pythonpippackagingfor-humansvirtualenv
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