Grant Seastream
Technical Software Engineer at ExxonMobil
Jersey City, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolGrant Seastream is a Technical Software Engineer with nine years of experience applying computer science and chemical engineering expertise to research-driven software in the energy sector. Based in Jersey City and educated at Carnegie Mellon, he blends scientific programming with practical engineering work at ExxonMobil, collaborating with researchers to solve computational problems. He has a strong open-source background in optimization tooling, notably contributing backend integrations between Pyomo and GAMS and improving solver interfaces and model handling. His work at Sandia and in academic research helped build widely used process-systems capabilities (IDAES/Pyomo) for complex flowsheet simulation and modular networking of process units. Grant routinely jumps into new domains, using machine learning and optimization to translate domain knowledge into reliable, production-ready code. Colleagues rely on him for careful solver integration, edge-case handling, and pragmatic solutions that bridge research prototypes and industrial deployment.
8 years of coding experience
Minor, Computer Science, Minor, Computer Science at Carnegie Mellon University
English, French, German
Stackoverflow
90reputation
5kreached
2answers
4questions
Github Skills (13)
pyomo10
gam10
python10
optimization10
mathematical-programming9
linear-programming8
nonlinear-programming8
autofilter6
dynamic6
excel6
colors6
wtforms6
flask6
Programming languages (8)
Github contributions (5)
Pyomo/pyomo
Jun 2017 - Jan 2019
An object-oriented algebraic modeling language in Python for structured optimization problems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:302 commits, 34 PRs, 218 comments in 1 year 7 months
Contributions summary:Grant implemented features and fixed bugs related to the GAMS solver integration. The code changes involve writing and evaluating models in the GAMS modeling language, particularly through the GAMS Python API and command-line interaction. Furthermore, the user addressed issues related to the handling of variables and expressions and added enhancements, such as the inclusion of variable values at initialization, improved evaluation checks, and handling of special function domains to ensure no domain violations during model solve, demonstrating expertise with Pyomo's model representation and solver interfaces.
pythonnonlinear-programmingstructuredgurobiproblems
ScotchLabs/snswebsite
Dec 2018 - Mar 2024
Static website for Scotch'n'Soda Theatre
Contributions:2 PRs, 78 pushes, 3 branches in 5 years 3 months
theatresoda
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