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Muhammad Ali

NUST · 2025
Email
aa1uu2tt3@gmail.com
Phone
923202233617
LinkedIn
GitHub

Academic

Program
BE Electrical Engineering
CGPA
3.18
Year
2025
Education
SEECS
Address
House 354E Street 113 Sector I10/4 Islamabad, Pakistan
DOB

Career

Current role
Target role
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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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
Provenance
Source file: BEE-2025-Graduate-Booklet-1.pdf
From job #243 page 30
Created: 1778158068