Domains I work in and research.
The areas I’ve spent my career and graduate research in, spanning production engineering at Intel, Honeywell Aerospace, and Siemens EDA, and a PhD in Electrical Engineering. Not a service menu, just where my depth is.
AI & Machine Learning
Models that make decisions, end to end.
From an 8-layer CNN for automated die-sort classification at Intel (92.4% accuracy) to LLM agents, RAG pipelines, and NLP systems. I care about the whole path: data, training, evaluation, and getting a model into production.
Data Science & Forecasting
Turning messy data into decisions.
Time-series forecasting, statistical modeling, clustering, and experimental design. I segmented thousands of USAA call transcripts with K-means and NLP to cut friction, and forecast financial and energy series with gradient boosting and classical methods.
Software & Web Engineering
Tools people actually use.
Full-stack web apps, internal tools, dashboards, and automation, built front to back. This site, client platforms, and internal tooling run on Next.js, React, and TypeScript, deployed on Vercel.
Hardware & Embedded Systems
Where my engineering started.
PCB design, signal integrity, and firmware. I built an automated signal-integrity validation system at Siemens EDA that cut 18+ hours of review to under 40 minutes, and worked on avionics and UAV systems at Honeywell Aerospace.
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