• Lead the development of a comprehensive SaaS platform that used AI to create professional product labels - oversaw development end-to-end from initial concept to production deployment.

• Developed the media-drive firmware and backend API of the SnapPress LP1 roll-to-roll label press.

• Upgraded the electronics of an envelope feeder for use with high-speed (100 pages/minute) Epson printers.

• Submitted an application for a Patent for a novel media selection mechanism on media feeders.

• Led the firmware development of a high-capacity envelope-feeder for printers - from prototype to production.

• Spearheaded the migration of the company’s media-cutter CNC control firmware from a dated platform to utilize modern processor architectures.

• Responsible for debugging and maintaining current codebase.

Building a privacy-first suite of 50+ browser-based utilities for file conversion, PDF editing, and local AI chat plus some other miscalaneous tools and calculators.

Architected client-side processing pipeline using WebAssembly to handle PDF manipulation, image conversion, and audio transcoding without server uploads. Integrated Ollama for fully local AI chat — no API calls, no external data transmission.

Tech stack: Next.js, WebAssembly, Tailwind CSS, Ollama integration.

• Developed a semi-supervised sentiment analysis machine learning model with an 80% accuracy rate at predicting the sentiment of chat transcripts between customer and agent

• Led a team of 6 interns to manually test new software and was responsible for tracking, training and progress

• Leveraged Python and the Robot Framework Selenium Library to automate sorting of sales team data and to efficiently test new software

• Collaborated with a Sr. Data Scientist to develop programs for large-scale text-based processing & analytics

• Maintained and improved existing Machine Learning systems to extract meaningful insights from unrefined data

• Spearheaded the migration and improvement of the Web of Science (previously the Web of Knowledge)