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Syed Momin Ali H.
@mominhashmi93
5,0
33
6,0
6,0
100%
R&D Electronics Engineer | PCB Designer
$100 USD / hora
・
Pakistan (8:47 a. m.)
・
Se unió el abril 29, 2020
$100 USD / hora
・
Hi myself Engr Momin Ali,
I'm an Embedded Systems Engineer at a reputed Electronics Company with an extensive expertise in Micro controller coding (Arduino, esp32 and esp8266), PCB designing, FPGA development and Embedded Systems design. I will design a PCB for you according to your requirements, do coding part for any micro controller and verify the hardware at my lab.
Feel free to contact me, I'll be happy to help you!
Checkout my PCB work at my portfolio below :
[login to view URL]
Softwares I use :
• EasyEDA
• Altium
• Kicad
#Altium
#easyEDA
#Kicad
Regards
Engr Momin Ali
Syed was very knowledgeable, he provided suggestion to improve the design, finished the project in a timely manner. He was good at providing updates and delivered everything that was asked. I would work with him again in the future.
Working as a Hardware Design Engineer at a reputed Embedded Systems Company. My responsibilities include Verilog FPGA development and verification and PCB designing.
jul, 2020 - Presente
•
4 años, 5 meses
Research Assistant
jun, 2019 - Presente
•
5 años, 6 meses
EEG Lab
jun, 2019 - Presente
•
5 años, 6 meses
This was a German funded project titled as "Development of Modular Electroencephalogram (EEG) Framework for data acquisition Purposes". I have designed Schematics and 4 layer PCB for this module using easyEDA software by JLCPCB. It used ADS1299 a 24 bit ADC by Texas Instrument for a very high precision Analog to Digital conversion. We used ESP32 Wroom as a Micro controller and Processing unit.
jun, 2019 - Presente
•
5 años, 6 meses
Educación
National University of Science and Technology
2016 - 2020
•
4 años
BS Electrical engineering
Pakistan
2016 - 2020
•
4 años
Calificaciones
Electrical Engineer
2017
SEECS ,NUST
I have a Bachelors degree in Electrical engineering with Embedded systems as a major. I have a CGPA of 3.6 out of 4. My final year project was to design a cost effective EEG hardware that is portable , using that I got the data using 16 channels and applied machine learning algorithm to predict the chances of epilepsy in a person under test .