Will Peterson
Software Engineering Manager at Delinea
Salt Lake City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolWill Peterson is a seasoned software engineering manager with over two decades of enterprise experience, currently leading engineering teams at Delinea after directing technology efforts at The Coca-Cola Company. He blends hands-on engineering, architecture, and people leadership to deliver end-to-end product roadmaps, proofs of concept, and reliable releases across cloud-native stacks. His background spans Java, Python, cloud platforms (AWS/Azure), containers and Kubernetes, and large-scale data and model governance systems, with prior roles driving integrations, deployment redesigns, and content ingestion frameworks. Will also contributes to ML tooling—demonstrated by his work integrating the TextAttack adversarial-NLP framework with Keras and HuggingFace datasets—showing a practical interest in model robustness. Known for translating complex requirements into actionable plans, he pairs pragmatic problem-solving with strong stakeholder communication. Outside work he channels the same persistence into mountaineering and endurance outdoor pursuits, reflecting a taste for disciplined, long-term challenges.
10 years of coding experience
24 years of employment as a software developer
BS Computer Science, BS Computer Science at Brigham Young University
Norwegian
Github Skills (11)
keras10
machine-learning10
adversarial-attacks10
python10
natural-language-processing9
huggingface-datasets9
datasets9
tensorflow9
nlp9
data-augmentation8
documentation6
Programming languages (3)
Github contributions (5)
QData/TextAttack
Dec 2020 - Jan 2021
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 1 PR, 2 pushes in 25 days
Contributions summary:Will primarily contributed to the project by integrating and demonstrating the use of TextAttack, a Python framework for adversarial attacks within a Keras model. Their work focused on applying attacks to a custom Keras model, specifically using a HuggingFace dataset and a PWWSRen2019 recipe. They also added code and text to the documentation. These commits show expertise in adversarial attacks and machine learning model integration.
pythonadversarial-machine-learningadversarialmodel-trainingtraining
willyptrain/CAD-For-Mammogram-Scans
Jan 2018 - Jan 2021
Contributions:91 pushes, 1 branch in 3 years
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.