Data Scientist · AI Researcher · Builder
I'm a data scientist and AI researcher with a background in analytics, NLP, and machine learning. I bring a builder's mindset to everything — from migrating enterprise analytics platforms to researching transformer architectures.
My work spans web analytics, natural language processing, and AI research, with experience at organizations like Deloitte and Virginia Tech's Hume Center. I hold an Intelligence Community CAE Scholar designation and a CS/Data Science background from Virginia Tech.
When I'm not working with data, I'm exploring jazz harmony at the piano, thinking about AI philosophy, or building creative tools like the voxel world you see above.
NLP, classification, deep learning pipelines, and research-grade ML systems.
Adobe Analytics, CJA, web analytics architecture, and data migration.
Transformer architectures, large language models, attention mechanisms, and AI alignment research.
Python, JavaScript, SQL, cloud platforms, and full-stack data tooling.
Led the technical migration of a Fortune 500 analytics implementation from Adobe Analytics to Customer Journey Analytics.
NLP and machine learning research at Virginia Tech's Hume Center for text classification and narrative analysis.
Studying modern transformer architectures, attention mechanisms, and large language model behavior for applied AI systems.
A structured reference of jazz voicings, rootless chords, and harmonic vocabulary across all 12 keys for practice and performance.
Open to data science, AI research, analytics engineering roles, consulting, and fractional engagements.