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Abdullah Khan

NUST · 2026
Email
abdullahdurabkhan@gmail.com
Phone
923335342425
LinkedIn
https://www.linkedin.com/in/abdullah-khan-1389b524a/
GitHub

Academic

Program
Electrical Engineering
CGPA
3.44
Year
2026
Education
SEECS
Address
Wah cantt , Pakistan
DOB

Career

Current role
Target role
Skills
C/C++, Python, Verilog, Embedded Linux, Assembly programming (ARM), PyTorch, OpenCV, YOLO, ByteTrack, TensorRT, ModelSim, MATLAB, AUTOCAD, LabView, Proteus/SPICE, ROS, Jupyter Notebook, STM32, ESP32, FreeRTOS, UART, SPI, I²C, NVIDIA Jetson Nano, Jetson Orin Nano, FPGA platforms, HART communicators, DCS control signals, 4–20 mA loops, embedded Linux, FPGA-based development, real-time audio, sensor integration, signal-processing, DE1-SoC platform, multitone digital piano, accelerometer-based motion interface, FPGA-driven oscilloscope, image-processing, Deep Learning, Drone Detection, Tracking, Embedded AI, NVIDIA Jetson, flight path prediction, automated countermeasures, multi-object tracking, CUDA, TensorRT, perception-control pipeline, computer vision, system optimization, autonomous threat response
Interests / quote
Aspiring Electrical Engineer leveraging analytical skills and hands-on experience to drive innovative, data-driven solutions.

Verbatim text

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Abdullah Khan
Cell: 923335342425 |  Email: abdullahdurabkhan@gmail.com
LinkedIn: https://www.linkedin.com/in/abdullah-khan-1389b524a/
Address: CB 291/2 STREET NO. 2 LIAQUAT ROAD, LALAZAR, WAH CANTT. , Wah cantt , Pakistan
PROFESSIONAL PROFILE
Aspiring Electrical Engineer leveraging analytical skills and hands-on experience to drive innovative, data-driven solutions.
EDUCATION
Electrical Engineering
SEECS , Islamabad , 3.44 (2026)
INTERNSHIP EXPERIENCE
Fatima Fertilizer Company Limited
09-Jun-2025 - 22-Aug-2025
Instrumentation & Control Intern (E2L 2025) Engineered and optimized industrial instrumentation and control systems during the E2L
program. Calibrated and troubleshooted industrial sensors using HART communicators. Monitored and enhanced DCS control
signals and 4–20 mA loops for reliable plant operations. Contributed to process control improvements, supporting efficient and stable
chemical production.
ESDAC/ROMI Lab, SEECS, NUST
17-Jun-2025 - 30-Aug-2025
Embedded Systems Intern Worked on embedded Linux and FPGA-based development for real-time audio, sensor integration, and
signal-processing applications on the DE1-SoC platform. Developed practical embedded systems including a multitone digital piano,
an accelerometer-based motion interface, and an FPGA-driven oscilloscope. Optimized on-board image-processing performance for
resource-constrained embedded hardware.
FINAL YEAR PROJECT
Deep Learning–Based Drone Detection and Tracking
Developed a real-time drone detection and tracking system with embedded AI on NVIDIA Jetson, capable of predicting flight paths,
scoring threats, and enabling automated countermeasures. Leveraged YOLO for detection and ByteTrack for multi-object tracking, optimized for low-latency deployment with CUDA and TensorRT. Designed a modular perception-control pipeline for dynamic outdoor
environments, demonstrating expertise in real-time computer vision, system optimization, and autonomous threat response.
TECHNICAL EXPERTISE
Programming Languages
C/C++, Python, Verilog, Embedded Linux/Assembly programming(ARM)
AI & Computer Vision
PyTorch, OpenCV, YOLO, ByteTrack, TensorRT
Engineering Tools
ModelSim, MATLAB, AUTOCAD, LabView, Proteus/SPICE, ROS, Jupyter Notebook
Embedded & System Software
STM32, ESP32, FreeRTOS, UART, SPI, I²C, NVIDIA Jetson Nano, Jetson Orin Nano, FPGA platforms

AI enrichment

Abdullah Khan is a final-year Electrical Engineering student with a 3.44 CGPA, specializing in embedded systems, instrumentation, and AI-driven computer vision. He has gained practical experience through internships in industrial control systems and embedded Linux development, alongside a final year project on drone detection using NVIDIA Jetson.
Skills (AI)
["C/C++", "Python", "Verilog", "Embedded Linux", "ARM Assembly", "PyTorch", "OpenCV", "YOLO", "ByteTrack", "TensorRT", "ModelSim", "MATLAB", "AutoCAD", "LabVIEW", "Proteus/SPICE", "ROS", "STM32", "ESP32", "FreeRTOS", "NVIDIA Jetson"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 152
Created: 1778168427