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John DoeProfile
Colophon · No. 01
John Doe
Hardware Engineer
Hardware engineer with expertise in embedded systems, control systems, and end-to-end hardware design. Proven track record of leading complex aerospace projects and building production-grade infrastructure.
About
Projects
TubeSort — Autonomous Puzzle-Solving Robot
Engineered a CNC gantry robot that photographs a puzzle game via Pi Camera, extracts game state through an OpenCV pipeline (perspective warp, contour detection, K-Means color segmentation), solves it with a DFS backtracking algorithm, and physically executes moves by driving stepper motors and a servo gripper through GPIOHomelab Infrastructure
Architected a self-hosted production-style stack on Proxmox VE with 11 VLAN-segmented subnets, clustered databases (3-node PostgreSQL, MariaDB, Redis), 4-node MinIO S3 object store, HAProxy failover, k3s Kubernetes, ZFS-backed NAS, and Tailscale mesh VPNExperience
Overview Energy
Jun. 2024 – PresentHardware Engineer
- Owned and lead the airborne laser control stack—state machine, safety interlock system, and operation GUIs—directly enabling the company's first successful airborne laser test
- Developed embedded service architecture across multiple subsystems (gimbal, FSM, beacon acquisition, ground, photodiode, thermal, aircraft, ground site) including cutting control latency of these systems from 5 seconds to 250ms using Python and C/C++
- Implemented real-time thermal monitoring with OpenCV that detects fiber optic failure in under a second during live high-power test, preventing multiple instances of extensive hardware damage
- Engineered a 5ms gimbal and FSM tracking control loop, applying Nyquist sampling theory to tune the minimum sampling rate that preserves stability margins, reducing unnecessary CPU load while maintaining full closed-loop performance
- Designed and built 15+ systems end-to-end—mechanical CAD, electrical integration, embedded firmware, and control GUIs—including automated gantries, gimbal tracking rigs, and photodiode measurement fixtures
- Architected telemetry pipeline with InfluxDB, Grafana, and all flight and post-flight dashboards
Tesla
Jan. 2022 – Jul. 2022Manufacturing Engineering Intern
- Built a C# application that automated defect image retrieval for quality assurance, processing 10,000+ images across 3 manufacturing lines and reducing manual review time by 80%
- Developed 5 KPI and BI dashboards with Django, Python, and MSSQL to surface manpower-to-quality trends and defect rates across production shifts, used weekly by engineering leads
- Automated weekly checklist scraping of 200+ inspection items with pandas, Selenium, and MySQL, eliminating 6+ hours/week of manual data entry
Education
Cornell University
Jan. 2024 – Dec. 2024M.P.S in Information Science — Focus on Web Development and Robotics
- Teaching Assistant — mentored 5 capstone project teams through contractual client engagements
Cornell University
Aug. 2020 – May 2024B.S in Electrical and Computer Engineering
- 2024 ECE Undergraduate TA Excellence Award
- Coursework: Computer Vision, Embedded Operating Systems, Microcontrollers, Autonomous Mobile Robots, Big Data (Hadoop), OOP & Data Structures
Contact
Skills
Languages
PythonC/C++C#TypeScriptSQL (PostgreSQLMySQLMSSQL)JavaHTML/CSS
Embedded & Hardware
Raspberry PiGPIOSerial/UARTI2CSPIStepper/Servo Motor ControlSensor IntegrationState Machines
CAD & Design
SolidWorks (CSWP)Siemens NXFusion 360KiCad
Infrastructure
ProxmoxDockerk3s/KubernetesTrueNAS/ZFSMinIOHAProxyNginxTailscaleUniFi/VLANs
Frameworks & Libraries
ReactNext.jsDjangoFlaskNode.jsInfluxDBOpenCVpandasNumPyPyTorchGit
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