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abdulhannan_92

Abdul Hannan

@abdulhannan_92

PCB Design, Circuit Design, Embedded and IoT, KiCad, EasyEDA,Firmware, ESP32

Pakistan
Engels, Urdu
Sommige informatie wordt in het Engels weergegeven.
Over mij
Being an electronics engineer, I focused on reviewing and solving violation, PCB design for embedded, IoT, and mixed-signal products. I take boards from requirements and schematic to layout, DRC/ERC check, and manufacturing-ready files (Gerbers, BOM, pick-and-place) in KiCad and EasyEDA. Recent work: ESP32 IoT nodes with RS485, a mains-powered RFID monitor, MOSFET and relay driver boards, an ADC/DAC controller, and a 4-layer power board review for JLCPCB (263 DRC violations to zero). I also write ESP32 firmware when a project needs it. I communicate clearly and document every design decision.... Lees meer

Skills

a
abdulhannan_92
Abdul Hannan
offline • 
Gemiddelde reactietijd: 2 uur

Bekijk mijn diensten

Print circuit boards (PCB)
I will design your esp32 iot pcb schematic and layout in kicad or easyeda
VanafUS$ 35 / projectMeer informatie
Print circuit boards (PCB)
I will design your mains powered relay and 230v sensing pcb in kicad
VanafUS$ 60 / projectMeer informatie

Portfolio

Werkervaring

Freelance

PCB Design | Embedded & IoT engineer

Freelance • ZZP

Dec 2022 - Present • 3 yrs 10 mos

Freelance PCB and embedded systems designer based in Bahawalpur, Pakistan. • Design multi-layer PCBs from schematic to Gerber, BOM and pick-and-place export using KiCad, EasyEDA Pro and Fusion. • Design STM32 and ESP32 based boards, including power stages (12V AC-DC, 12V-to-50V boost with SG3525/UC3845). • Design custom enclosures in Autodesk Fusion. • Work with IoT sensors and wireless (Wi-Fi, Bluetooth, GSM) and TinyML/edge AI

CARE

Research Member (Embedded Systems & Robotics)

CARE • Parttime

Nov 2022 - Jun 2026 • 3 yrs 7 mos

Research Member at the Centre of Automation, Robotics and Embedded Systems (CARE), The Islamia University of Bahawalpur. • Developed an acoustic early-detection system for Red Palm Weevil using FFT and TinyML on Teensy 4.1 and ESP32-S3, with IM69D130/SPH0645 microphones and BMI270/ADXL345 vibration sensors, and LED/buzzer/mobile-app alerts. • Built AI-based predictive maintenance for motors using FFT and TinyML on Teensy. • Developed IoT systems: MediSense wearable (heart rate, SpO2, temperature, ECG, motion over ESP32, GSM and Wi-Fi with cloud) and ESP32 home automation with Firebase and Blynk. • Simulated a component-sorting robot in Webots.