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Ahmed Hussain

NUST · 2026
Email
ahmedmagsiaa085@gmail.com
Phone
923110771285
LinkedIn
GitHub

Academic

Program
Bachelor of Electrical Engineering
CGPA
2.65
Year
2026
Education
SEECS
Address
VILLAGE DRIB JARO TALUKA KAMBER DISTRICT KAMBERSHAHDADKOT , Kamber , Pakistan
DOB

Career

Current role
Target role
Skills
AI, ML, Computer Vision, Robotics, Embedded Systems, Deep Learning, IoT, Cloud-based systems, Arduino, ESP32, MATLAB, Python, LSTM, GRU, NumPy, Pandas, Scikit-learn, TensorFlow/Keras, Pixhawk, 3D Printing, UAV Design

Verbatim text

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Ahmed Hussain
Cell: 923110771285 |  Email: ahmedmagsiaa085@gmail.com
Address: VILLAGE DRIB JARO TALUKA KAMBER DISTRICT KAMBERSHAHDADKOT , Kamber , Pakistan
PROFESSIONAL PROFILE
Final-year Electrical Engineering student at NUST with a strong passion for AI, ML, computer vision, robotics, and embedded
systems. Experienced in end-to-end development of intelligent systems, including a swarm drone project featuring real-time object
detection deployed on Raspberry Pi and STM32 platforms. Skilled in integrating deep learning models with hardware for autonomous
navigation, target detection, and swarm coordination. Driven to solve complex problems, collaborate effectively, and contribute to
innovative AI/ML and robotics solutions.
EDUCATION
Bachelor of Electrical Engineering
SEECS , Islamabad,Capital,Pakistan , 2.65 (4)
INTERNSHIP EXPERIENCE
SEECS Control Lab
06-Jun-2023 - 02-Sep-2023
Completed an internship focused on IoT and Cloud-based systems, with hands-on experience using Arduino and ESP32
microcontrollers for programming and interfacing with real-world systems. Designed and implemented sensor-based embedded
applications to collect real-time data and transmit to cloud platforms for monitoring and analysis. Worked extensively with ESP32 for
Wi-Fi–enabled IoT applications, device communication, and real-time control. Utilized MATLAB for data analysis, simulation, and
system modeling. Gained practical exposure to IoT architecture, embedded system design, cloud integration, and debugging of
hardware–software systems.
CodeAlpha
01-Jun-2024 - 02-Jul-2023
Worked as a Machine Learning and Python Intern at Code Alpha, where I developed and implemented machine learning models
using Python. Contributed to a Price Prediction project by performing data preprocessing, feature selection, model training, and
evaluation. Designed and implemented deep learning models using LSTM and GRU to predict next-day temperature and humidity
based on historical time-series data. Gained hands-on experience in data analysis, model optimization, and performance evaluation
using Python libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow/Keras.
Dronext
11-Jun-2025 - 10-Sep-2025
Worked as part of a team at Dronext on the design and development of smart VTOL UAVs. Contributed to intelligent drone swarming
integration using embedded systems and communication protocols. Gained hands-on experience with Pixhawk flight controllers, including
configuration, calibration, and flight testing. Involved in 3D printing of UAV components, system assembly, and integration
of telemetry equipment for real-time data transmission and monitoring. Developed practical skills in UAV design, embedded systems,
and autonomous flight technologies.
Youth Entrepreneurial Society - NUST SEECS
11-Jan-2023 - 15-Jan-2025
Served as an HR member for one year during academic studies at NUST SEECS, contributing to member recruitment, coordination,
and internal team management. In the following year, worked as an Admin & Events team member, actively involved in planning,
organizing, and managing entrepreneurial seminars and events at SEECS and NUST. Assisted in coordinating speakers, logistics,
and event execution, gaining experience in leadership, teamwork, and event management within a student-led professional society.
FINAL YEAR PROJECT

AI enrichment

Ahmed Hussain is a final-year Electrical Engineering student at NUST with a focus on AI, machine learning, and embedded systems. He has internship experience in IoT development using ESP32 and machine learning model implementation with Python. His background includes practical work on drone swarming and autonomous navigation projects.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "LSTM", "GRU", "TensorFlow", "Keras", "Scikit-learn", "Pandas", "NumPy", "IoT", "Embedded Systems", "Arduino", "ESP32", "Raspberry Pi", "STM32", "MATLAB", "Computer Vision", "Robotics", "UAV Design"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 46
Created: 1778168427