Qualifications
Ten certificates, awarding institution first.
Completed through 2026 alongside full-time work, mostly to put a formal footing under things I was already doing on the job: cryptography for Fury, Go for both Fury and Squish, and explainable AI for the statistical work behind DAS. Each links to the certificate PDF.
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Johns Hopkins University
A Crash Course in Data Science
Completed 29 June 2026Grounds the statistical thinking behind DAS's anomaly detection and scoring.
View certificate (PDF) -
University of Colorado System
Symmetric Cryptography
Completed 3 September 2026Directly informs the STREAM-style ChaCha20-Poly1305 payload encryption in Fury.
View certificate (PDF) -
University of Colorado System
Asymmetric Cryptography and Key Management
Completed 3 September 2026Underpins Fury's hybrid FrodoKEM-640 / ML-KEM-768 key agreement design.
View certificate (PDF) -
University of Colorado System
Cryptography and Information Theory
Completed 3 September 2026The theoretical grounding behind the two Fury-related courses above.
View certificate (PDF) -
University of California, Irvine
Getting Started with Go
Completed 4 September 2026Go is the primary language behind Fury and Squish.
View certificate (PDF) -
University of California, Irvine
Functions, Methods, and Interfaces in Go
Completed 4 September 2026Deeper Go idiom, following on from the course above.
View certificate (PDF) -
Duke University: Pratt School of Engineering
Explainable AI (XAI): Specialization
Completed 15 July 2026Three courses (Developing Explainable AI, Interpretable Machine Learning, Explainable Machine Learning) covering how to make model output trustworthy: relevant to DAS's explainable anomaly scores.
View specialization certificate (PDF) -
Duke University
Developing Explainable AI (XAI)
Completed 29 June 2026Individual course certificate, part of the specialization above.
View certificate (PDF) -
Duke University
Interpretable Machine Learning
Completed 13 July 2026Individual course certificate, part of the specialization above.
View certificate (PDF) -
DeepLearning.AI
AI For Everyone
Completed 4 September 2026Foundational framing for applied-AI strategy, useful when scoping what AI should and shouldn't be used for.
View certificate (PDF)