A software developer working close to the metal — automated manufacturing cells, PLC layers, hardware audit services, and the orchestration that sits above them.
The short version — where I've worked, what I build, and why a bug in this kind of software has real-world consequences.
I am a software developer based in New Hampshire with six years of experience building production systems at the intersection of software and hardware.
My work lives close to the metal: Automated manufacturing, PLC communication, data pipelines that keep aircraft parts traceable. I've also built the tools that sit above that layer — orchestration platforms, ERP integrations, internal quality management systems — and personal projects that keep the learning going outside of work hours.
I care about accurate, maintainable software that actually solves the problem in front of it. I'm drawn to companies where software touches the real, physical world and improves human lives.
Projects and notes, newest first — 8 entries.
An ASP.NET Core HTTP API that exposes a request/poll interface to a Haas CNC controller for part sign-off, serial number retrieval, laser marking, and CMM measurements. The API handles the actual integration with the Keyence laser marker and Wenzel CMM on the server side, keeping hardware details off the controller. A containerized dummy API with a mock HTML UI was shipped to Haas Automation in Germany so their engineers could develop and test controller logic months before the physical machine arrived in the US.
A traceability and audit server application that verifies laser marker parameters against a locked specification sheet, drives a PLC handshake, retrieves serial number queues from a production API, and records a complete time-stamped parameter history for every part marked — providing comprehensive parameter traceability for aerospace customers.
A parallelized data transformation pipeline that migrated hundreds of thousands of aerospace inspection records from one drawing revision to another using a graph-based specification mapping algorithm. The project protected millions of dollars of at-risk inventory and a critical customer relationship.
An end-to-end IoT remote control system using MQTT and LoRa radio. A CircuitPython Feather M4 bridge device polls Adafruit IO for state changes and relays commands over 915 MHz LoRa (RFM9x) to a remote receiver that actuates a physical load.
A personal finance application that uses AWS Textract to extract line-item data from receipt images stored in S3, triggers processing via a Python Lambda, and surfaces the structured data through an ASP.NET Core + GraphQL API backed by PostgreSQL — running in a self-managed Raspberry Pi k3s homelab.
A visual, low-code workflow designer that coordinates messaging between modular hardware and software plugins. Allows automation engineers to wire up PLC signals, camera inspections, and custom actions through a drag-and-drop UI — replacing three hard-coded application variants with a single, flexible platform.
An Automato plugin that consumes pass/fail results from Cognex InSight camera jobs via the SDK, coordinating inspection outcomes across multiple station configurations — single-station, dual-side, and fully automated lights-out cells — through one configurable codebase.
A scheduled Windows service that ingests daily CSV exports from inventory management kiosks, validates and imports the data, uploads each line item to Epicor cloud ERP through a multi-step pipeline, and emails styled HTML summary reports to finance and shipping managers — saving roughly 10 hours of manual work per week.