Jonathan Compton is a software engineer with a decade of experience who currently conducts R&D in natural language processing at Sandia National Laboratories, blending classic ML and deep learning techniques into production Python systems. He specializes in transformers and model security—adversarial examples, black-box attacks, and poisoning—while still valuing lightweight approaches like naive Bayes and graph embeddings when they fit the problem. His background in systems administration and scripting (Bash, Ruby, Python) gives him a pragmatic edge in deploying and hardening models across real infrastructure. Based in Albuquerque, he enjoys reading and implementing research papers end-to-end, treating engineering as applied scholarship. Notably, he calls his current role a “dream job,” signaling strong domain fit and long-term commitment.
10 years of coding experience
8 years of employment as a software developer
High School Diploma, High School Diploma at Christian Life Academy
B.A., English Literature, Spanish, 3.98 (summa cum laude), B.A., English Literature, Spanish, 3.98 (summa cum laude) at Evangel University
nodejs tools for monitoring, alerting, and passing around system data as json. A unified watcher of things (hence the name Cyrin)
Contributions:8 pushes, 1 branch, 1 comment in 11 days
monitoringnodejs
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