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andrewpcbford

Andrew F

@andrewpcbford

PCB Design Engineer

Verenigde Staten
Engels, Frans, Duits
Sommige informatie wordt in het Engels weergegeven.
Over mij
Hi, I’m Andrew ford, an expert in Pcb design and embedded systems engineer specializing in high performance electronic product development. I design multilayer pcbs, esp32 and stm32 based systems, rf and power electronics with manufacturable and reliable layouts using altium, kicad and easyeda. I provide schematic design, pcb layout, firmware integration and prototype support delivering gerber, bom and production ready files. Focused on clean signal integrity, emi aware routing and fast communication for startups and industrial clients with proven results and fast turnaround... Lees meer

Skills

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andrewpcbford
Andrew F
offline • 

Bekijk mijn diensten

Print circuit boards (PCB)
I will design pcb schematic and layout for esp32 arduino stm32 with gerber and bom
VanafUS$ 50 / projectMeer informatie
Print circuit boards (PCB)
I will review and fix pcb design, schematic and layout issues
VanafUS$ 60 / projectMeer informatie

Werkervaring

Self_Employed

PCB Design & Embedded Systems Engineer

Self Employed

Feb 2022 - Present • 4 yrs 3 mos

Designed high-performance multilayer PCBs for IoT, industrial automation, and embedded electronics applications Developed schematic designs and optimized PCB layouts using Altium Designer, KiCad, and EasyEDA Worked with ESP32, STM32, Arduino, and ARM-based microcontrollers for embedded system development Created manufacturing-ready design files including Gerber, BOM, Pick & Place, and assembly documentation Improved PCB signal integrity, power distribution, and EMI performance for reliable hardware operation Collaborated with startups and hardware teams to convert concepts into functional electronic prototypes Supported PCB prototyping, debugging, firmware integration, and production preparation

Southern_California Edison

Electrical Engineering Intern

Southern California Edison

Jun 2022 - Sep 2025 • 3 yrs 3 mos

Designed and developed an AI-driven tool using Python and Ollama to automate and streamline the evaluation of Request for Proposals. Implemented intelligent document parsing with pattern matching algorithms to achieve 90% accuracy in section identification inside of questions. Reduced evaluation time from 3 weeks of manual review to 2-3 hours of automated processing.