Controls & Software Lead Engineer with 8+ years architecting ML-driven industrial automation — Allen-Bradley / Siemens PLCs, YOLO / ONNX vision, and Azure cloud, shipping measurable throughput, cost, and safety gains.
Six years replacing manual labor and downtime with measurable throughput, cost, and safety gains — across PLC, vision, machine learning, and cloud stacks.
I'm a Controls & Software Engineer with 6+ years delivering end-to-end automation solutions at an ISO 13485 / FDA-registered contract manufacturer. My track record centers on shipping complete systems — from the PLC sequence and electrical panel to the ONNX inference server and Azure dashboard — that replace manual labor and recurring downtime with quantifiable gains.
I work fluently across the full automation stack: Allen-Bradley ControlLogix & CompactLogix (Studio 5000), Siemens TIA Portal / WinCC, ISA-88 machine architectures, Keyence / Cognex / Omron vision, YOLO / ONNX models running on NVIDIA GPUs, C# REST services on Azure, and AutoCAD Electrical schematics. Whether it's a lights-out press cell, a 99%-accurate defect detector, or an 8-second automated cycle that eliminated a full operator shift — I deliver the complete solution.
Prior to Auer Precision I designed power and controls systems for induction heating equipment at Ajax Tocco Magnethermic, and hold an M.S. in Electrical & Electronics Engineering (GPA 4.0) from Youngstown State University.
Allen-Bradley ControlLogix & CompactLogix (Studio 5000), Siemens TIA Portal / WinCC, ISA-88 architectures, FactoryTalk, RSLogix 500, HMI, SCADA, and AutoCAD Electrical panel design.
Designing and commissioning complete machine cells — UR robot integration, Promess servo press, IPG laser, stepper / servo motion, vibratory feeders, and safety integration.
Deploying YOLO / ONNX defect detection on NVIDIA GPUs alongside Keyence, Cognex, Omron, and Zeiss CMM vision — inline quality inspection at production speed.
Production-grade systems in C# and ASP.NET Core — REST services, Windows Services, FastAPI inference servers, real-time dashboards, T-SQL, and Razor Pages web apps.
Architecting cloud-connected factory solutions with Azure SQL, Blob Storage, and DevOps pipelines — bridging Ignition / PLC data to real-time cloud dashboards.
Shipping end-to-end ML systems: acoustic anomaly detection with ONNX + FastAPI, YOLO defect detection on RTX 3000 GPUs, and image classification pipelines for industrial sorting.
Measurable results across controls, vision, ML, and cloud — from semiconductor inspection to lights-out press operation.
Shipped an end-to-end ONNX + FastAPI + PLC system enabling fully lights-out press operation. The ML model detects acoustic anomalies in real time, automatically stopping the press on bad cycles. Recovered ~25 unattended production hours/week per machine.
Deployed YOLO defect detection on an RTX 3000 GPU for semiconductor carrier inspection. Achieved 99% detection accuracy with inference time cut from seconds to milliseconds — enabling inline, production-speed quality control.
Designed ISA-88 PLC architecture and UR robot interface for an automated leak testing cell. The 8-second cycle completely eliminated a dedicated 8-hour manual operator shift per day, delivering immediate labor cost savings.
Delivered a PLC-driven tapping line with stepper motors and Keyence XGX vision for a defense contractor application (bomb fuses). Removed manual labor and repetitive-motion injury hazards while achieving a 20-second automated cycle.
Built a C# service linking a Zeiss CMM to a UR robot for fully automated bin-sorting based on inspection results. Eliminated manual measurement and part handling, cutting inspection time by 60%+.
Integrated a PLC-controlled mastic dispenser with Omron inline vision for real-time dispensing verification. Lifted production throughput by 50% to 1,500 parts/hour by eliminating manual inspection bottlenecks.
Modernized a medical-tape production line by retrofitting a Promess servo press with full panel rewiring, safety integration per ISO 13485, and in-house servo tuning. Eliminated OEM dependency and delivered a fully documented, validated system.
Built an ASP.NET Core production dashboard consuming live Ignition / PLC data via Azure SQL and Blob Storage pipelines. Provides real-time flatness inspection results and production metrics across multiple lines.
Automated a manual welding process using Keyence vision to verify correct part alignment before the operator proceeds. Programmed PLC in Structured Text, designed the vision logic, and produced the full electrical schematic.
Open to controls, automation, and software engineering roles. Let's connect.