Ali Ahmad
NUST
· 2026
Email
aliahmad180704@gmail.com
Phone
923309221497
GitHub
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Academic
Program
BEE
CGPA
3.61
Year
2026
Education
SEECS
Address
ISLAMABAD
DOB
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Career
Current role
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Target role
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Skills
Ubuntu Linux, FPGA, SoC, Embedded Linux, Linux Drivers, ADC, ADXL345, Image Processing, P&ID, PFD, HART, Yokogawa DCS, Verilog, Vivado, RISC-V, Zephyr RTOS, STM32, Deep Learning, Drone Detection, YOLO, ByteTrack, NVIDIA Jetson, Computer Vision
Interests / quote
Motivated electrical engineer with a strong technical foundation and a passion for innovation. Eager to apply problemsolving skills and technical expertise to challenging projects in electrical and related fields
Verbatim text
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Ali Ahmad Cell: 923309221497 | Email: aliahmad180704@gmail.com LinkedIn: https://www.linkedin.com/in/ali-ahmad-110887274 Address: HOUSE NO 449 STREET NO 20 F 17/3 ISLAMABAD , Islamabad , Pakistan PROFESSIONAL PROFILE Motivated electrical engineer with a strong technical foundation and a passion for innovation. Eager to apply problemsolving skills and technical expertise to challenging projects in electrical and related fields EDUCATION Bachelor of Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , Islamabad , 3.61 (2026) INTERNSHIP EXPERIENCE ESDAC LAB 20-Jun-2024 - 30-Aug-2024 Deployed Ubuntu Linux on an FPGA-based SoC (DE-series board) and configured the system for embedded operation. Developed user-level applications in an embedded Linux environment for peripheral interaction and system testing. Implemented custom Linux drivers for hardware peripherals, including input devices, switches, and basic graphics control. Interfaced and acquired data from FPGA-based ADC modules and an ADXL345 accelerometer. Implemented and tested basic image processing routines on the embedded platform under system-level constraints Fatima Fertilizer Company Limited 18-Jun-2025 - 25-Jul-2025 Interpreted P&ID and PFD diagrams for process understanding and instrumentation mapping. Worked with industrial instrumentation analyzers for flow, level, temperature, pressure, conductivity, and pH measurement. Configured field devices using HART communicators for parameter setup and diagnostics. Gained exposure to Yokogawa DCS architectures, including system performance and redundancy concepts. ChipXprt 24-Jun-2024 - 30-Aug-2024 Learned Verilog, Vivado and chip design process. Worked on implementing a JTAG port for flashing code onto a RV32IMAC RISC-V core. Learned Zepyhr RTOS and implemented it on a STM32 microcontroller. FINAL YEAR PROJECT Deep Learning–Based Drone Detection and Tracking Designed and deployed a real-time drone detection and tracking pipeline for dynamic outdoor environments using live video streams. Implemented and optimized YOLO-based object detection models under strict real-time constraints, benchmarking multiple architectures to balance accuracy, latency, and embedded GPU efficiency. Integrated a ByteTrack-based multi-object tracking pipeline to ensure consistent target identities and stable tracking across consecutive frames. Deployed, profiled, and optimized the full perception stack on NVIDIA Jetson platforms, transitioning from Jetson Nano to Jetson Orin Nano to significantly improve inference throughput and scalability. Evaluated end-to-end system performance using frame rate, inference latency, and tracking stability metrics to guide model and system-level design trade-offs. Integrated perception outputs with downstream control logic to enable closed-loop visual tracking based on image-plane error, moving beyond standalone detection. Contributed to a modular, extensible system architecture with emphasis on end-to-end latency, robustness, and deployment stability. TECHNICAL EXPERTISE
AI enrichment
Ali Ahmad is a final-year Bachelor of Electrical Engineering student with a 3.61 CGPA, specializing in embedded systems, FPGA development, and deep learning deployment. He has practical experience in Linux driver development, industrial instrumentation, and optimizing AI models on NVIDIA Jetson platforms.
Skills (AI)
["Embedded Linux", "FPGA", "Verilog", "RISC-V", "Zephyr RTOS", "STM32", "Deep Learning", "YOLO", "ByteTrack", "NVIDIA Jetson", "Industrial Instrumentation", "HART", "DCS", "Python", "C/C++"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdfFrom job #259 page 150
Created: 1778168427