Hafiz Muhammad Ahmed Safdar
NUST
· 2026
Email
ahmedsafdar3@gmail.com
Phone
923318446696
GitHub
—
Academic
Program
Bachelors in Electrical Engineering
CGPA
—
Year
2026
Education
SEECS
Address
Lahore, Pakistan
DOB
—
Career
Current role
—
Target role
—
Skills
Embedded Systems, Control Systems, Motor Drive Applications, MATLAB/Simulink, Machine Learning, Computer Vision, Microcontroller-based System Design, Automation, Data-driven Problem Solving, Sliding Mode Control, STM32, Arduino, Embedded C, GPIO Control, Relay Interfacing, DC Motor Speed Control, Robotic Arm, Python, Image Processing, Edge Detection, Object Recognition, Deep Learning, Object Detection, Edge Computing, NVIDIA Jetson Nano
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Hafiz Muhammad Ahmed Safdar Cell: 923318446696 | Email: ahmedsafdar3@gmail.com LinkedIn: https://www.linkedin.com/in/hafiz-muhammad-ahmed-safdar-50a3aa369/ Address: 25-B ALPHA COOPERATIVE HOUSING SOCIETY , Lahore , Pakistan PROFESSIONAL PROFILE Electrical Engineering undergraduate at NUST with hands on experience in embedded systems, control and motor drive applications, MATLAB/Simulink modeling, and interdisciplinary projects in machine learning and computer vision. Skilled in microcontroller-based system design, automation, and data-driven problem solving, with research exposure to sliding mode control. Seeking to apply strong analytical and practical skills in challenging engineering roles. EDUCATION bachelors in electrical engineering seecs , Lahore , 2.3 (2026) INTERNSHIP EXPERIENCE Graduate Research Complex 16-Jun-2025 - 05-Sep-2025 Wrote a Research Paper on Bone Cancer Treament using Sliding Mode Control FINAL YEAR PROJECT OLIVE YIELD DETECTION USING COMPUTER VISION AND EDGE COMPUTING This final year project focuses on olive yield detection using computer vision and edge computing to provide an efficient, accurate, and real-time solution for olive production estimation. The system uses image data captured from cameras or mobile devices to automatically detect and count olives on trees using computer vision techniques such as image processing and deep learning based object detection. To ensure low latency, reduced bandwidth usage, and on-site processing, the model is deployed on an edge computing device ( NVIDIA Jetson Nano ). This approach helps farmers and agricultural planners estimate yield early, optimize harvesting strategies, reduce labor costs, and support data-driven decision-making in precision agriculture. TECHNICAL EXPERTISE Embedded Systems and MicroControllers STM32 microcontroller programming Arduino-based system design Embedded C programming GPIO control, relay interfacing Real- time control of hardware systems Control Systems And Motor Control Research Paper on Bone Cancer Treatment using SMC ( Sliding mode Control ). ( Under Review ) DC motor speed control Robotic Arm using Servo Motors Machine Learning & Python Salary Prediction Model - Predicting Salary based on the persons job title, location, remote or on-site - by using Python Dog Breed Identification - Predicting a Dog's Breed by putting photographs in it of different dogs - by using Python on Google Colab Computer Vision White Board Digitizer - image processing, edge detection, object recognition Dog Breed Identification - using Machine learning and Computer vision to detect the breedof Dog.
AI enrichment
Electrical Engineering undergraduate at NUST with a focus on embedded systems, control theory, and computer vision. Demonstrates practical experience through academic projects involving edge computing, microcontroller programming, and machine learning applications.
Skills (AI)
["Embedded Systems", "Microcontrollers", "STM32", "Arduino", "Embedded C", "Control Systems", "Sliding Mode Control", "Motor Control", "Python", "Machine Learning", "Computer Vision", "Image Processing", "Edge Computing", "NVIDIA Jetson Nano", "MATLAB/Simulink"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdfFrom job #259 page 173
Created: 1778168427