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.
13 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)
html10
neural-network10
css10
model-building10
openframeworks10
computer-vision10
machine-learning10
jupyter-notebook10
python10
modeling10
model-driven10
model-driven-development10
jekyll9
tsne9
keras9
Programming languages (16)
Github contributions (5)
ml4a/ml4a.github.io
Jan 2016 - May 2021
machine learning for artists
Role in this project:
Front-end Developer
Front-end DeveloperContributions:467 commits, 31 PRs, 353 pushes in 5 years 4 months
Contributions summary:Gene's contributions focused on the initial creation of the project's front-end. They implemented the basic structure of the home page by creating an `index.html` file with a navigation bar and a content section. They then added a stylesheet (`main.css`) to style the page and created a layout to hold content based on the jekyll template. Subsequently, they adapted the layout for handling content by creating a default layout that can be used by multiple pages. The focus appears to be on building out the site.
pythondata-sciencedeep-learningmachine-learningtensorflow
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.
python-librarypythonartdata-sciencemachine-learning
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