Jawad Babar
FAST
· 2024
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2024
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Jawad Babar 03125954779 H.No 1 St.No 17/B BurmaTown Khanna Dak,Islamabad, Rawalpindi LinkedIn: Education Electrical Engineering Embedded Systems, Machine Learning, Internet of Things, Fundamental of Database, Network Programing APSACS Potohar Complex Mathematics, Physics, Chemistry ATMS Islamabad Biology, Mathematics, Physics, Chemistry Projects Final Project: Remote Fuel Monitoring System (Sensor Integration, Mobile App Development, Cloud Computing, Wireless Communication, Programming Languages) A sensor-equipped system collects, preprocesses, and stores fuel tank data in a database, accessible via a mobile app. Semester Projects: Bluetooth Controlled Aquarium System (Microcontroller Programming) GPS Location Tracker using Raspberry Pi (Operating Systems) Line Following Robot Using Logic Gates (Electronics Sensor Integration) Digital Clock Using Logic Gates (Digital Logic Design)) Simple Touch Sensor Circuit (Capacitive Sensing) Work Experience Internship Training at 102MW, Jari Kas Hydro Power Station July 2022 - August 2022 Unwavering work ethic throughout training Skills & Tools Professional Skills: Troubleshooting and debugging, Data Logging and Analysis Technical Skills: Raspberry Pi, Assembly Language Programming, Machine Learning, STM-32, Python, C/C++, Matlab/Simulink, SQL Achievements Member of Huawei ICT competition organizing team Training / Certification Basic Python Supervised Machine Learning-IBM Exploratory Data Analysis for Machine Learning-IBM Activities Mananging Engineering Events Member Huawei ICT Competition Interests Exploring Machine Learning , Cricket As Sports i190909@nu.edu.pk https://www.linkedin.com/in/jawad-babar Majors: FSc Pre Engineering ( ) Matric-Science ( )
AI enrichment
Jawad Babar is an Electrical Engineering graduate with a focus on embedded systems, IoT, and machine learning. He has completed an internship at a hydro power station and developed several hardware-software integration projects using Raspberry Pi and microcontrollers.
Skills (AI)
["Embedded Systems", "Machine Learning", "IoT", "Python", "C/C++", "Raspberry Pi", "STM-32", "SQL", "Matlab/Simulink", "Assembly Language", "Troubleshooting", "Data Logging"]
Status: ai_done
Provenance
Source file: —Created: 1777723990