Muhammad Ali
NUST
· 2025
Email
aa1uu2tt3@gmail.com
Phone
923202233617
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.18
Year
2025
Education
SEECS
Address
House 354E Street 113 Sector I10/4 Islamabad, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Big data analytics, Paint 3d, Atmel studio, Oracle, Python, java, c++, octave, Microcontrollers avr, pic, stm, Network penetration testing, Convolutional neural networks, Cisco packet tracing, wireshar, Microsoft azure, Motivational speaking, Technical documentation, Efficient ms word, excel user, Problem solving and innovation
Interests / quote
An expertise electrical engineer with telecommunication, machine learning and power system background .Seeking oportunity to apply skills in these feilds
Verbatim text
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This is what powers semantic search.
Projects Reprogrammable RISC-V based System on Chip (SoC)| Designed and implemented a custom memory controller for efficient data management within the SoC. Developed the Wishbone interconnect for seamless communication between RISC-V core and pheripherals. Created the fabric control block, responsible for managing and controlling the programmable logic, ensuring dyn RISC-V: Pipelined RV-32I Designed the Instruction Decode stage of the RV-32I pipelined. Created a forwarding unit to handle data forwarding between pipeline stage. Developed a hazard detection unit to identify and mitigate hazards, ensuring smooth instruction flow in the pipeline. Explored and implemented 1-bit dynamic branch predict Voltage Stabilizer Designed and implemented a voltage stabilizer as part of the Electrical Machines project, ensuring consistent voltage output despite input fluctuations. Integrated key components such as transformers, relays, and control circuits to maintain stability. Conducted extensive testing and analysis to ensure optima Non-Invasive Blood Glucose Monitoring Developed a non-invasive blood glucose monitoring system using Arduino and an infrared sensor. The system estimates glucose levels by processing signals from the sensor, eliminating the need for blood samples. Focused on improving user convenience and reliability with minimal discomfort. Details Technical Skills Soft Skills Reference Muhammad Ali Cell: 923202233617 Email: aa1uu2tt3@gmail.com Address: House 354E Street 113 Sector I10/4 Islamabad Street 113 sector i10/4 Islamabad , Pakistan Big data analytics Paint 3d Atmel studio Oracle Python/java/c++/octave Microcontrollers avr, pic, stm Network penetration testing Convolutional neural networks Cisco packet tracing, wireshar Microsoft azure Motivational speaking Technical documentation Efficient ms word, excel user Problem solving and innovation Name: Dr syed ali hassan Company: Nust Phone: +92 51 90852125 Email: ali.hassan@seecs.edu.pk Professional Profile An expertise electrical engineer with telecommunication, machine learning and power system background .Seeking oportunity to apply skills in these feilds Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.18 Matric / O levels , (2019) Intermediate / A levels , (2021) Bachelors in Electrical Engineering SEECS , 3.18/4 (2025) Pre Engineering Fazaia Inter College , 88% (2019) Internship Experience Carriage Factory Islamabad ( 12-Aug-2024 - 24-Aug-2024 ) Power Management & Distribution: Monitored and managed the electrical supply system, ensuring stable power distribution across the factory. Maintenance of Large Power Banks: Assisted in the operation and maintenance of high-capacity power banks to support factory machinery and emergency backup systems. Elec METRO BUS COMMAND AND CONTROL PROJECT ( 03-Jun-2024 - 29- Jul-2024 ) Contributed to the electrical engineering aspects of the metro bus depot construction, including infrastructure planning and system integration. Gained hands-on experience in power distribution systems, electrical load calculation, and equipment installation. Enveloped proficiency in safety standards, docum Projects MotorMind Technologies Used: Matlab , Simulink Designed a three phase induction motor on MATLAB SIMULINK, then generated few faults in it and applied different machine learning models in it to compare their accuracy Acoustic Sensing-Based Smart Water Management System Developed a wireless water flow and level sensing system using ESP32 and acoustic sensors, enabling real-time monitoring and data transmission via Bluetooth to a mobile gateway. Integrated with cloud services, the system ensures efficient irrigation management and optimized water usage for agriculture Autonomous Lunar Lander Navigation and Control System Simulated a Lunar Lander environment and trained agents using reinforcement learning algorithms like Deep Q-Network (DQN) to optimize landing performance and compare model accuracy Arduino-Driven Variable Frequency Drive for AC Motor Control Designed a Variable Frequency Drive (VFD) system using Arduino to generate PWM signals. These signals controlled MOSFETs for precise switching, enabling efficient speed control of AC motors. Page No. 58 | BEE - Graduate Profile Booklet 2025 Page No. 59 | BEE - Graduate Profile Booklet 2025
AI enrichment
Muhammad Ali is a 2025 Electrical Engineering graduate with a 3.18 CGPA, specializing in embedded systems, RISC-V architecture, and machine learning applications. He has practical internship experience in power management and metro infrastructure, alongside academic projects involving SoC design and IoT systems.
Skills (AI)
["RISC-V", "Embedded Systems", "Python", "C++", "MATLAB", "Simulink", "Arduino", "Machine Learning", "Power Systems", "IoT", "Verilog/SystemVerilog", "Microcontrollers"]
Status: ai_done