Kyle Vrooman
NA Structuring at Trafigura
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Vrooman is an energy markets structuring specialist with nearly two decades of experience valuing, negotiating, and managing complex commodity and power asset transactions across North America. He has led commercial and quantitative teams at major firms and co-founded an AI startup, blending deep quantitative modeling (stochastic price dynamics, PROMOD nodal forecasting) with hands-on product delivery for storage, renewable, and thermal assets. His work spans end-to-end deal execution—from bespoke PPA and tolling contract drafting to ISO registration, FERC processes, and bid optimization for grid-scale batteries and pumped hydro. Notably, he pairs traditional energy finance expertise with practical machine learning and software experience, contributing code improvements to high-profile open-source projects like a faceswap deepfake tool. Based in Houston, he brings proven ability to translate complex physical constraints and regulatory nuance into executable commercial structures and risk-mitigated hedges.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Economics, Bachelor of Science - BS Economics at Tulane University
Stackoverflow
51reputation
14kreached
1answer
0questions
Github Skills (10)
face-detection10
computer-vision10
opencv10
machine-learning10
deep-learning10
python10
image-processing10
swap9
keras6
numpy6
Programming languages (3)
Github contributions (5)
deepfakes/faceswap
Mar 2018 - Dec 2019
Deepfakes Software For All
Role in this project:
ML Engineer
ML EngineerContributions:43 commits, 44 PRs, 69 pushes in 1 year 8 months
Contributions summary:Kyle primarily focused on modifying and improving the `faceswap` software, a deepfake application. Their contributions involved refactoring code related to face landmark extraction, specifically addressing BGR/RGB input issues and related UnboundLocalError corrections within the `FaceLandmarksExtractor` module. They optimized blur estimation within the sorting tools and also made improvements related to image smoothing during face conversion processes. Further work was done to improve the draw_transparent function.
deepfakesdeep-learningneural-netsmachine-learningface-swap
kvrooman/faceswap_
Dec 2018 - Jan 2020
Non official project based on original /r/Deepfakes thread. Many thanks to him!
Contributions:396 commits, 10 PRs, 455 pushes in 1 year 1 month
pytorchdeepfakesdeep-learningmachine-learningthread
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.