Mark Roddy
Fractional VP Of Engineering at LaunchIt AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMark Roddy is a Fractional VP of Engineering with 15 years of experience helping early-stage AI and data startups ship faster, stabilize teams, and scale without the delay of a full-time hire. Based in Seattle, he excels at turning stalled engineering organizations into predictable delivery engines by coaching technical leaders, installing lightweight processes, and aligning engineering with product and business goals. He has a strong hands-on background in backend systems, data engineering and test automation—contributing to Netflix’s Lipstick visualization framework and building developer tooling at companies like Mortar and Etsy. Mark’s pragmatic approach blends operator instincts, mentorship, and technical rigor to avoid mis-hires, clarify priorities, and create durable leadership capacity. Founders rely on him to buy time for the right long-term hire while producing measurable results in weeks rather than months.
15 years of coding experience
16 years of employment as a software developer
BS Computer Science, BS Computer Science at Rutgers University
Stackoverflow
27,548reputation
4.0mreached
101answers
41questions
database
top-1%
orm
top-1%
unit-testing
top-1%
python
top-1%
debugging
top-1%
mocking
top-5%
Github Skills (22)
unit-testing10
debugging10
python10
back-end-development10
testng10
testing10
java10
javas10
orm10
database10
serialization9
mocking9
stacktrace9
html6
logging6
Programming languages (9)
Github contributions (5)
Netflix/Lipstick
Aug 2013 - Feb 2014
Pig Visualization framework
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:48 commits in 6 months
Contributions summary:Mark primarily focused on enhancing the Lipstick Pig visualization framework, with a strong emphasis on the backend components. Their contributions included allowing for custom client initializations and passing custom PigStatusClient instances. They also developed and implemented unit tests for core backend functionality and made improvements to error handling and job status reporting within the framework. The user's work demonstrates an understanding of the framework's internal workings and the ability to write effective tests.
pigvisualization-frameworkvisualization
AsherBond/mortar
Feb 2013 - May 2014
Contributions:164 commits in 1 year 2 months
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