Jacob Barlow
Software Engineer II at Amazon
California, United States
Summary
👤
Senior🎓
Top SchoolJacob Barlow is a Software Engineer II based in California with 13 years of experience building web and mobile applications using JavaScript, React, Redux, Ruby on Rails, and Android. He has progressed from customer-facing technical roles into software engineering at companies like Infor and Amazon, where he combines full-stack chops with a pragmatic focus on refactoring and reliability. Jacob contributes to scientific open-source projects—adding transport property estimation and unit conversions to the well-known RMG-Py chemical kinetics repository—demonstrating comfort with backend algorithm work and domain-heavy code. He enjoys both building greenfield features and surgically eliminating bugs, and brings product-minded instincts from past roles in demand generation and operations. Outside work he pursues creative outlets like designing escape room experiences, brainstorming businesses with his brothers, and competitive Dungeons & Dragons campaigns.
13 years of coding experience
8 years of employment as a software developer
Android Developer Nanodegree, Android Developer Nanodegree at UdacityBrigham Young University-IdahoApp Academy
English, American Sign Language
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
kinetics10
data-structures10
chemistry10
thermodynamics10
python10
data-structure10
algorithms9
Programming languages (1)
Github contributions (2)
ReactionMechanismGenerator/RMG-Py
Jan 2013 - Sep 2013
Python version of the amazing Reaction Mechanism Generator (RMG).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits in 8 months
Contributions summary:Jacob primarily contributed to the development of transport property calculations within the RMG-py project. They added and modified several classes, including `TransportData`, `CriticalPointGroupContribution`, and `TransportDatabase`, to enable the estimation and access of transport properties. Furthermore, they fixed issues related to group additivity methods and implemented unit conversions, ultimately allowing transport properties to be calculated for pressure-dependent reactions. These changes involved significant modifications to the core data structures and estimation algorithms for the project's chemical kinetics calculations.
mechanismchemical-engineeringchemistrypythonreaction
ReactionMechanismGenerator/RMG-database
Mar 2013 - Sep 2013
The database of chemical parameters used with Reaction Mechanism Generator
Contributions:5 commits in 6 months
mechanismparametersreactionchemicaldatabase
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