Bryan Nova is a machine learning and NLP engineer with 11 years of experience applying AI to real-world problems across healthcare, legal, and enterprise domains. He has driven research-to-production work—building large-scale information extraction and OCR pipelines, managing thousands of model F1s in production, and migrating ML services between cloud providers. Bryan combines hands-on engineering (full-stack, CI/CD, Dockerized Spark-NLP pipelines) with research instincts informed by neuroscience and evolutionary biology, and is currently pursuing a PhD in computational psychiatry. He has improved open-source testing tools like SwiftyMocky by adding flexible ArgumentCaptor support and reducing template duplication, reflecting a focus on robust, testable systems. Based in Lakewood, Ohio, he seeks meaningful work that measurably improves people's lives through principled, interdisciplinary ML.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at The University of Akron
Bachelor of Science (B.S.) Computer and Information Science, Bachelor of Science (B.S.) Computer and Information Science at The Ohio State University
Phd Computational paychiatry, Phd Computational paychiatry at Cleveland State University
Framework for automatic mock generation. Adds a set of handy methods, simplifying testing. One of the best and most complete solutions, including generics support and much more.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:8 commits, 6 PRs, 1 push in 2 years 7 months
Contributions summary:Bryan's contributions primarily focus on enhancing the testing capabilities of the `swiftymocky` framework. They fixed code duplication issues in template files used for mock generation and added an `ArgumentCaptor` for capturing and verifying method arguments in tests. Furthermore, the user implemented an optional filter for the `ArgumentCaptor`, increasing the flexibility of mock testing. These changes collectively improve the framework's testing capabilities and flexibility.
Contributions:2 PRs, 337 pushes, 4 branches in 5 years 6 months
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