Engineered Systems & Outcomes
Explore our architecture teardowns, technical challenges, and statistical outcomes across production web apps, mobile systems, GenAI pipelines, and academic capstones.
Aura Health Clinical Intelligence
Challenge:Unstructured electronic health records (EHR) caused 45-minute physician delays during triage, risking patient outcomes in emergency rooms.
Architectural Approach:Architected a HIPAA-compliant hybrid RAG pipeline using Claude 3.5, pgvector with dense+sparse re-ranking, and a low-latency Next.js 15 clinical dashboard.
OmniTrack Mobile Fleet Telemetry
Challenge:Legacy mobile dispatch platform dropped 12% of offline mobile telemetry packets in cellular blind zones across interstate delivery routes.
Architectural Approach:Engineered an offline-first React Native architecture with background SQLite sync, native Swift/Kotlin geo-fencing daemon, and TimescaleDB ingestion pipeline.
NeuroScan EEG Automated Classifier
Challenge:Manual artifact detection in multi-channel EEG signals required 14 hours per patient dataset during epilepsy diagnostics clinical trials.
Architectural Approach:Trained a custom 1D-CNN transformer architecture in PyTorch with spectral wave decomposition, paired with a Next.js visualization interface for researchers.
SynthVector RAG Benchmarking Suite
Challenge:Engineering teams lacked automated test suites to measure retrieval hallucination rates across diverse vector embedding models.
Architectural Approach:Created an open-source synthetic dataset generator and precision benchmark CLI comparing OpenAI, Cohere, and local sentence-transformers.