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Abdullah Khan

NUST · 2026 · 411082
Email
abdkhan.bee22seecs@seecs.edu.pk
Phone
923335342425
LinkedIn
https://www.linkedin.com/in/abdullah-khan-1389b524a
GitHub

Academic

Program
CGPA
3.44
Year
2026
Education
Electrical Engineering SEECS , Islamabad , 3.44 (2026)
Address
CB 291/2 STREET NO. 2 LIAQUAT ROAD, LALAZAR, WAH CANTT. , Wah cantt , Pakistan
DOB

Career

Current role
Target role
Skills
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

Aspiring Electrical Engineer leveraging analytical skills and hands-on experience to drive innovative, data-driven solutions.
Status: ai_done
Provenance
Source file:
Created: 1777448793