Muhammad Abdullah
NUST
· 2025
Email
abdullahm.bee21seecs@seecs.edu.pk
Phone
923217137528
LinkedIn
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GitHub
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Academic
Program
BEE
CGPA
3.25
Year
2025
Education
SEECS
Address
Nur Khan Chaklala cantt, Rawalpindi, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Microcontrollers avr, pic, stm, Computer vision, Data cleansing and analysis, Data science, Hardware breadboar arduino, Embedded c, Raspberry pi, tinker board, Data analysis, Analytical thinking, Communication skills, Leadership and communication, Analytical, Problem solving skills, Intuitive problem solving, Problem solving and innovation, Empathy
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Projects Footstep Power Generation Designed and demonstrated a model for generating electricity using piezoelectric sensors, which produce voltage when pressure is applied. The project explored two potential applications: integrating sensor plates into flooring in busy areas or embedding them in footwear to harness kinetic energy from walking. Smart Medicine Box with Reminder System Developed a medicine reminder system using basic ICs, including gates, encoder, decoder, LED lights, and a 4x4 membrane keypad. The system allows users to store medicine in designated boxes, set a timer via the keypad, and receive alerts when it's time to take the medicine. A buzzer sounds, and an LED light i Line Following Robrt Using Atmega-16 Designed and developed a line-following robot capable of navigating predefined paths by detecting lines using sensors. The robot was programmed in assembly language to handle various scenarios, including junctions, end lines, and turns. The project demonstrated proficiency in microcontroller programming, logi Fault Detection in Transmission Lines using Vision Transformers Implemented a novel approach to detect faults in transmission lines using Vision Transformers (ViTs), leveraging their capability to analyze images effectively. Based the project on a research paper published in September 2023, showcasing improved efficiency compared to traditional methods. Trained and tested Details Technical Skills Soft Skills Reference Muhammad Abdullah Cell: 923217137528 Email: abdullahm.bee21seecs@seecs.edu.pk Address: Nur Khan Chaklala cantt, Rawalpindi , Pakistan Microcontrollers avr, pic, stm Computer vision Data cleansing and analysis Data science Hardware breadboar aurdino Embedded c Raspberry pi, tinker board Data analysis Analytical thinking Communication skills Leadership and communication Analytical Problem solving skills Intuitive problem solving Problem solving and innovation Empathy To be furnished upon request. Professional Profile Innovative Embedded Systems and AI/ML Engineer with a strong background in developing intelligent hardware solutions. Skilled in designing and integrating AI- powered embedded systems, optimizing real-time data processing, and deploying ML models. Passionate about microcontrollers, FPGAs, and edge devices bridging the gap between machine learning and hardware, improving efficiency, and enabling smart automation in IoT, healthcare, and industrial applications. Seeking to contribute expertise in embedded AI, signal processing, and model deployment to drive innovation in cutting-edge technology solutions. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.25 , (2019) , (2021) Bachelor of Engineer, Electrical School of Electrical Engineering and Computer Science , 3.25 (2025) Internship Experience Centre of Artificial Intelligence & Computing (CENTAIC), NASP ( 14- Jun-2024 - 22-Aug-2024 ) Worked as an AI Intern at the Centre of Artificial Intelligence & Computing, National Aerospace Science & Technology Park. 1. Anomaly Detection for ECG Data: Developed an anomaly detection system for ECG signals using Temporal Convolutional Networks (TCNs) with the Darts library. The system enhances autom Page No. 100 | BEE - Graduate Profile Booklet 2025 Page No. 101 | BEE - Graduate Profile Booklet 2025
AI enrichment
Muhammad Abdullah is a recent Electrical Engineering graduate with experience in embedded systems and AI/ML, including an internship focused on anomaly detection for ECG data. His background spans hardware prototyping with microcontrollers and software development using computer vision and deep learning techniques.
Skills (AI)
["Embedded Systems", "Microcontrollers (AVR, PIC, STM)", "Embedded C", "Python", "Computer Vision", "Machine Learning", "Deep Learning", "Vision Transformers", "Temporal Convolutional Networks", "Data Analysis", "Hardware Prototyping", "Arduino", "Raspberry Pi"]
Status: ai_done