Paula Derrenger
Member at Pavilion
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolPaula Derrenger is a growth and product leader with 3 years of experience scaling Vision AI adoption and commercial traction from Madrid, currently serving as VP of Growth at Ultralytics. She has rapidly progressed through roles at Ultralytics—driving community, revenue, and product-market fit for an open-source YOLO project used by 100,000+ organizations. Her background in brand and digital strategy at Procter & Gamble and Wella gives her a rare blend of consumer marketing rigor and data-driven GTM for technical products. As a hands-on contributor to the ultralytics/ultralytics repo, she improved model efficiency and usability through refactoring TinyViT components and enhancing data pipelines and documentation. Paula combines creative training in digital culture and music with executive education in digital marketing, enabling cross-disciplinary thinking when building growth systems. She’s known for turning technical contributions into customer-facing impact—improving both developer experience and commercial outcomes.
3 years of coding experience
1 year of employment as a software developer
Songwriting and Music Composition Course, A, Songwriting and Music Composition Course, A at Berklee College of MusicA* - A* - A, A* - A* - A at King's College, Soto de ViñuelasBachelor’s Degree, Digital Culture, First Class Honours, Bachelor’s Degree, Digital Culture, First Class Honours at King's College LondonExecutive Program, Digital Marketing, Winning Project, Executive Program, Digital Marketing, Winning Project at The Valley Digital Business School
English, Spanish
Github Skills (11)
object-detection10
computer-vision10
pytorch10
deep-learning10
python10
model-optimization10
segmentation9
image-segmentation9
machine-learning9
documentation8
cli7
Programming languages (7)
Github contributions (5)
ultralytics/ultralytics
Jan 2023 - Jan 2023
Ultralytics YOLO11 🚀
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 1 commit, 20 PRs in 1 day
Contributions summary:Paula primarily contributed to code refactoring and optimization efforts within the Ultralytics YOLO repository. Their work involved improvements to the TinyViT model, data splitting scripts, and the predictor engine. They also fixed links and corrected errors in the documentation and examples, demonstrating a focus on improving model efficiency, data processing, and overall project usability.
pytorchdeep-learningyolov8object-detectiononnx
ultralytics/ntc
Dec 2023 - Mar 2025
Neutron TimeCube (NTC) neutron detector simulation and analysis
Contributions:9 PRs, 6 pushes, 6 branches in 1 year 3 months
gammaneutronparticle-physicspicosecondscatter-camera
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