Python Automation
Workflow automation, data pipelines, web scraping, REST APIs, data apps with Streamlit, Flask web services, and ML-powered tooling — all in Python.
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STORM DAT: Automating Government Document Compliance So Analysts Can Focus on What Matters
A web-based application for automating government document compliance, reducing manual review time and improving accuracy.
VitalCheck API: Building a Multi-Domain Health Intelligence Engine with Python, FastAPI, and Production-Grade ML
VitalCheck is a production-deployed REST API that delivers real-time health risk assessments across ten medical and wellness domains. Built with Python, FastAPI, and a suite of machine learning models, it provides a unified interface for clinical and biometric predictions — from diabetes and stroke risk to MRI-based brain tumor classification.
ComfyUI Workflow Iterator: Engineering Systematic A/B Testing for Generative AI Pipelines
A production-grade Python extension for ComfyUI that transforms ad-hoc image generation into a disciplined, reproducible experimentation platform.
Sleep Lab Monitoring System: Real-Time CPAP Data Analytics for Critical Care
A full-stack medical monitoring system that enables real-time collection, analysis, and visualization of CPAP data for sleep apnea patients in clinical sleep labs.
Your Flask App Is a Monolith Until You Learn the Factory: How `create_app`, Blueprints, and Jinja2 Inheritance Turn a Script Into a Scalable Project
A deep dive into the architectural patterns that transform a single-file Flask script into a maintainable, scalable web application — covering the application factory, Blueprint organization, and Jinja2 template inheritance.
Splitting Atoms in a Word Document: Surgical Run Manipulation and Real-Time Audio Normalization
A deep dive into the algorithms that power STORM DAT's document annotation and audio normalization engines, revealing how to transform complex data structures in place without corruption.