Healthcare AI platforms. SOC-grade defensive security training. Production ML on 37k+ records. Web systems shipped under real client pressure. Each card opens with the full story — tech stack, my role, outcomes, links.
Generative AI healthcare platform unifying 11+ companies — pharmacy, providers, pharma, payers. I worked across the entire stack as Data Engineer + Lead SDE.
60+ rooms across SIEM, threat intel, network forensics, endpoint security, phishing analysis, and DFIR. Full blue-team trajectory.
Filter above. Click any card for the full breakdown.
Pharmacy Management System — pharmacist-feedback driven dev cycles, PMO coordination.
Adherence-focused product marketing site. Co-developed with one other dev for fast-turnaround launch.
Led the React.js build for the discount-card platform — thousands of rows of dynamic, styled data rendered live.
Pre-sale / VC investment momentum site. Front-end campaign asset signaling ecosystem readiness ahead of scale conversations.
Linear regression on 37k+ NYC 2019 listings. IQR outlier filtering, dummy encoding, mean±SD classifier. F-score 63%.
Graduate notebook walking through IQR, imputation, encoding, scaling, and skew correction patterns for real-world datasets.
Python utility for pharmacy record sorting and normalization — internal tooling built during KARE Rx Partners tenure.
Built for David Burleson — 25+ year IT executive search veteran. Three-track service architecture (clients / candidates / students).
Healthcare-tech conference site (Cathie Wood, Kevin Harrington headlined). Built and maintained via No Limit Technology under Stan Liberatore.
501(c)(3) pediatric cancer research nonprofit (parent org of DTB). Stripe donation flow, gala marketing, board management.
Full site rebuild plus client communications design: MSP advisory flyers, pricing notices, and operational announcements.
Earlier personal portfolio. Pre-MSCS, pre-brand-system — the starting point this site grew out of. Kept live as a milestone.
FSU transfer-mentorship org. 16% Instagram growth (443→512), 774% blog viewership increase. Four-person team. Pixel-art final deck.
Sanitized repo-pack work: from-scratch ML, graph analytics, distributed Spark workflows, and Oracle database systems labs. This is the deeper technical layer beneath the shipped/client-facing work.
Graduate notebooks implementing core learning algorithms directly — matrix-method regression, SGD logistic regression, and Gibbs sampling over Bayesian networks.
Network science coursework covering Twitch social graph analysis, Louvain clustering, Girvan-Newman modularity, and similarity-based link prediction.
Distributed data workflows for healthcare-style EDA and student dropout classification using Spark DataFrames, ML pipelines, and cross-validation.
Oracle SQL*Plus lab artifacts covering schema querying, execution-plan inspection, transaction behavior, concurrency traces, and redacted spool outputs.
Architecture decisions, what broke and why, the people I worked with, full code repos — happy to walk through any of these.
