Featured Projects

A selection of notable electrical engineering projects spanning automotive R&D, industrial metrology, and process automation

k-Space Associates (2025)

Non-Contact Temperature Measurement System

Product Launch

Lead EE and de facto project lead for industrial metrology tool (full product lifecycle). USB-to-serial bridge PCBA, TEC cooling subsystems, dual spectrometers integration.

Role: Lead Electrical Engineer, De Facto Project Lead
Team: 5 people (EE, SWE, ME, PhD, production)
Technologies: KiCAD, USB/SPI/GPIO, TEC thermal systems, Python/Qt
Impact: March 2026 customer shipment target, first major product launch in role

PCB Design Process Automation Suite

Process Transformation

Transformed workflow from no version control to fully automated pipeline. GitHub adoption, CLI automation tools, PowerShell/Word documentation integration.

Technologies: Git/GitHub, KiCAD CLI, PowerShell, AI-assisted development
Impact: 4.5 hours saved per design cycle, enabled team collaboration, design history traceability

FTDI USB Device Programmer (Poka-Yoke Tool)

AI-Assisted

Production tool with automated USB Hub/Port mapping, sequential programming of 4 ICs. >90% AI-generated code, human-architected design.

Technologies: Python, Qt GUI, SQLite, PowerShell automation
Impact: Eliminated manual enumeration overhead, poka-yoke process preventing errors

Quantum Signal AI (2021-2025)

M.2 Modular Embedded Platform

Platform Development

Designed modular rapid prototyping platform for Ford Research. Most enjoyable and fulfilling project at QSAI.

Motor Controller M.2 Card: 20A continuous current, 12V, TMC4671 IC supporting brushed DC/brushless DC/stepper motors. High power density through multi-layer PCB optimization, external MOSFETs, maximized copper area.
DisplayPort to FPD-Link IV Card: 6-layer, 0.8mm thick PCBA with gold-edge fingers. Full DisplayPort 1.4 support with precise impedance control for automotive infotainment displays.
Carrier Board: STM32-based, 4 M.2 slots (65mm x 162mm), up to 4 motors per board. Budget managed, new domestic PCB vendor established.
Impact: Enabled faster Ford prototyping cycles, platform adopted for internal prototypes with intent for customer deployment

Autonomous/Tele-Operated Shuttle System

Safety-Critical

Drive-by-wire conversions on 4 GEM electric shuttles for Ford autonomous vehicle research. Largest QSAI project (~30-40 person team).

Vehicle Platform: GEM shuttles (2-6 passengers), 48V Lead-Acid/Lithium Ion, Low Speed Vehicle (LSV) classification
Technical Achievement: Consolidated 3 separate PCBAs (braking, throttle, vehicle supervision) into single 4-layer board with Ethernet-to-CAN bridge
Deployment: 4 by-wire conversions, 2 teleoperated prototypes deployed on public Michigan roads and MCity testing facility (Ann Arbor)
Challenges Solved: CAN bus signal integrity, grounding issues, OEM network integration, EMC/EMI mitigation

Hands-On-Wheel Detection System (Ford VIRTTEX)

Customer-Facing

Capacitive sensing prototype for Ford's Virtual Test Track Experience team to automate driver monitoring during simulated driving.

Technology: 4-quadrant capacitive sensing (ASIC-based, no firmware), optimized PCB routing from steering wheel sensor pads
Performance: ~70% detection accuracy, <1 second response time (met Ford's threshold)
Customer Collaboration: ~6 on-site visits at Ford VIRTTEX facility for integration, troubleshooting, demos, training
Impact: Eliminated manual video analysis burden, Ford accepted prototype with no follow-on requests

Mixed-Signal Audio Processor (Jetson Nano Carrier)

Edge Computing

Edge-processing audio analysis system for predictive vehicle maintenance (engine, transmission, braking, shocks, tires).

Architecture: NVIDIA Jetson Nano DSP + custom carrier board "shield" extending functionality
Approach: Local "at the edge" processing vs cloud dependency, compact form factor matching Nano outline
Impact: Demonstrated feasibility of edge-based predictive maintenance through audio pattern recognition

Standards & Design Workflow Development

Process Improvement

Established engineering best practices transforming team from Fusion 360 EAGLE to Altium + robust version control.

Deliverables: Schematic/PCB checklists, formal design review workflows, DVP&R templates, HDSR documentation for software team
Adoption: 3 team members (self + intern + ME transitioning to PCB design)
Impact: Improved design consistency, accelerated onboarding, enhanced cross-functional collaboration

DENSO International America (2016-2021)

MATLAB/Python Data Processing Automation

Automation

Automated data analysis tools for ignition coil and spark plug testing in engine dynamometer environment.

Capabilities: Performance/wear analysis, secondary current filtering, mass data handling, auto-graphing
Impact: Saved hours of manual computation time, improved test result accuracy, faster customer presentations

Engineering Internships (2013-2015)

RADAR Performance Analysis Automation

99% Time Reduction

Developed automated algorithms for RADAR testing and analysis at Delphi Automotive (Summer 2015).

Impact: Anomaly detection 2-3 hours → <30 seconds (99%), angle accuracy 2 hours → <30 seconds (99%), report generation 3 hours → <5 minutes (97%)

PLC Network Communication Integration

Industrial Automation

Integrated different branded PLCs via TCP/IP and UDP at North Star BlueScope Steel (Summer 2014).

Impact: Enhanced automation flexibility, steel gauge monitoring algorithm for backup capability

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