Adam Wigington is a Head of Product and engineering leader with nine years of focused R&D experience applying software, machine learning, and optimization to power system problems that enable sustainable, affordable energy. He blends hands-on development in C/C#/Python/Cython, Matlab, and Typescript with product leadership—driving research software from proof-of-concept to delivery for utilities and grid operators. Comfort with scientific computing, Django APIs, and Linux/OSX environments lets him bridge data science models (linear regression, neural nets) with production tools and hardware-enabled maker projects. A natural collaborator, he prefers small, communicative teams and has led multidisciplinary proposals, budgets, and stakeholder engagement across industry conferences. Outside work he mentors, contributes to open source, and pursues languages, travel, and outdoor endurance hobbies—reflecting a curiosity that fuels both technical depth and practical impact.
9 years of coding experience
15 years of employment as a software developer
Master of Science Electrical Engineering Power Systems, Master of Science Electrical Engineering Power Systems at University of Nebraska-Lincoln
Experimental optimization modeling layer for OPTALG with automatic sparse first and second derivatives.
Contributions:3 releases, 5 PRs, 10 pushes in 4 years 2 months
optimizationsparsesecondmodelingderivatives
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