Gene Kogan
Principal Technology Leader at AlphaStruxure
San Diego Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolGene Kogan is a Principal Technology Leader with 14+ years of experience designing and deploying energy, data-center, and distributed energy resource (DER) systems across corporate, utility, and government markets. Currently leading technology strategy at AlphaStruxure, he blends hands-on engineering with commercial and project leadership to vet techno-economic stacks spanning renewables, CHP, storage, and alternative fuels. His background ranges from substation engineering to global energy program management and DOE technical assistance, giving him a rare end-to-end view from field operations to strategic financing for Energy-as-a-Service. In parallel he contributes to open-source ML-for-art projects, bringing practical computer-vision and front-end experience to creative technical communities. Known for de-risking microgrids and shortening sales cycles through standardized reporting and lifecycle analysis, he combines technical rigor with pragmatic program execution. Based in San Diego, he holds an EE (Power) degree and credentials in project management and LEED.
14 years of coding experience
14 years of employment as a software developer
Bachelor of Science Electrical Engineering - Power, Bachelor of Science Electrical Engineering - Power at San Diego State UniversityProject Management Program Certificate, Project Management Program Certificate at San Diego College of Continuing EducationLEED Green Associate, LEED Green Associate at Green Building Certificattion Institute (GBCI)
English, Russian
Github Skills (16)
neural-network10
html10
css10
model-building10
openframeworks10
computer-vision10
jupyter-notebook10
machine-learning10
python10
modeling10
model-driven10
model-driven-development10
jekyll9
tsne9
keras9
Programming languages (17)
Github contributions (5)
ml4a/ml4a-ofx
Jul 2016 - Oct 2020
A collection of openFrameworks apps for working with machine learning
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 153 commits, 12 PRs in 4 years 4 months
Contributions summary:Gene primarily contributed to the development of machine learning applications within the openFrameworks environment. They fixed image size bugs in a tSNE image analysis script and added a reverse image search app, indicating involvement in computer vision tasks. Furthermore, the user implemented an image feature extraction and nearest neighbor logging script, suggesting a focus on model training and evaluation.
machine-learningopenframeworks
ml4a/ml4a
May 2016 - Jun 2022
A python library and collection of notebooks for making art with machine learning.
Role in this project:ML Engineer
ML EngineerContributions:379 commits, 24 PRs, 256 pushes in 6 years 2 months
Contributions summary:Gene appears to be working on a collection of notebooks and a Python library for making art with machine learning, as indicated by the repository description. The commit messages reveal that the user is focused on developing and documenting techniques for image-based machine learning. The commits showcase implementation of code differences in notebooks and potentially indicate skills with tools for research and development of the library.
machine-learningpython
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