About
I worked my way through college, and I bring that same persistence to engineering. I’m friendly, quick to learn, and motivated by practical problems that make people’s work harder. I’m open to engineering and technical opportunities across Greater Boston where I can contribute, keep learning, and build useful systems.
I’m a Computer Engineering graduate (B.S., Northern Arizona University, 2025) pursuing an engineering role where I can design, build, and troubleshoot practical systems. My academic foundation includes embedded systems, digital logic, and hardware-software integration. As an Instructional Technologist, I bring professional experience in enterprise endpoint management, ServiceNow development, and instructional technology. I’m targeting systems engineering, hardware test and validation, and embedded software opportunities, while also considering endpoint and infrastructure engineering roles that build on my experience. My current work includes developing a locally hosted, AI-assisted PDF accessibility remediation application that combines document processing with human review.
Selected Projects
Embedded hardware, electromechanical integration, and practical software tools.
Working prototype · Copyright pending
AI-Assisted PDF Accessibility Remediator
Read the case study: local AI, document accessibility, and engineering tradeoffs
Software Development · Accessibility · Applied AI
Developed a locally hosted web application to assist with PDF accessibility remediation, combining document processing and local AI with human review.
- Built document-processing workflows incorporating OCR, document tagging, and AI-assisted alternative-text generation.
- Created human review screens for inspecting document structure and proposed accessibility changes.
- Integrated local AI inference through Ollama into the remediation workflow.
- Prepared third-party software licensing and technical documentation for university review and pilot planning.
Technologies: Python · Flask · Ollama · PDF Processing · Local AI
Prototype under development. Automated suggestions require human review; accessibility compliance is not guaranteed.
Embedded Linux · PCB Design · Hardware–Software Integration
Portable Embedded Radio
A portable audio system combining a Raspberry Pi Zero 2W, custom electronics, and a mobile web interface for playback and media management.
- Hardware: Custom PCB designed in Altium Designer, with a MAX98357A I2S audio amplifier, speaker, and regulated 5V power supply.
- Embedded software: Python playback logic handles GPIO button input, playback states, and shuffled playlists, with automatic startup through systemd.
- User interface: A Flask web interface supports MP3 uploads, volume adjustment, and track skipping; NFC provides tap-to-open access to the control page.
- Mechanical design: A SolidWorks-designed, 3D-printed enclosure houses the electronics and speaker.
Technologies: Raspberry Pi Zero 2W · Python · Flask · Linux · I2S · Altium Designer · SolidWorks
Read the case study: embedded Linux, custom electronics, and mobile control
Explore radio source and documentation on GitHub
Embedded Systems · Electromechanical Design · Driver Interface
Formula SAE Electronic Paddle-Shifting System
Designed and prototyped an electronic paddle-shifting mechanism connecting driver inputs, microcontroller shift logic, and mechanical gear actuation for a Formula SAE vehicle.
- Control logic: Programmed an Arduino Nano Every to process paddle inputs and issue shift commands.
- Actuation: Integrated a 12V servo motor to actuate the mechanical gear shifter.
- Driver feedback: Integrated a Raspberry Pi digital dash for real-time status monitoring and telemetry display.
Technologies: Arduino Nano Every · 12V Servo Motor · Raspberry Pi · Embedded Control · Electromechanical Integration
Designed and prototyped; shift-time improvements and race-condition reliability have not been quantified here.