Nick Cemenenkoff
Customer Solutions Software Engineer at Credo AI
Spokane-Coeur d'Alene Area United States
Summary
👤
Senior🎓
Top SchoolNick Cemenenkoff is a Customer Solutions Software Engineer with a decade of experience applying math-driven software to real-world problems across AI, data engineering, and power systems. He currently integrates Credo AI’s governance platform for customers and previously built ML-driven decision systems and RAG agents at Gonzaga and SEL, deploying solutions end-to-end from ETL to CI/CD. Comfortable across Python, SQL, Azure, GCP, and containerized pipelines, he’s shipped predictive models, custom SDKs, and automation that reduce manual toil and surface actionable insights. Nick’s background in physics and mechanical engineering informs a rigorous, experimental approach—he even developed astronomy analysis software during his research assistantship. He’s also an educator at heart, having led workshops on prompt engineering and mentored junior engineers in best practices. Colleagues rely on him to translate complex requirements into practical, auditable AI and data solutions.
11 years of coding experience
7 years of employment as a software developer
Bachelors of Science double major in Physics Mathematics, Bachelors of Science double major in Physics Mathematics at Western Washington UniversityMechanical Engineering, Mechanical Engineering at Dartmouth College
Stackoverflow
1reputation
0reached
0answers
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Github Skills (11)
deep-q-learning6
python6
python-app6
nuitka5
compiler4
automation3
computer-vision3
ocr3
setuptools3
build-system2
deep-reinforcement-learning2
Programming languages (1)
Github contributions (5)
cemenenkoff/pythonomicon
Nov 2018 - Mar 2025
Contributions:69 pushes, 1 branch in 6 years 4 months
cemenenkoff/qsnake
Jan 2022 - Jan 2022
Explore how to train a deep Q-learning network to train an agent to play a simple snake game.
Contributions:39 commits, 2 PRs, 82 pushes in 6 days
deep-q-learning
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