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Ahmad Hussain

NUST · 2026

ahmad404302@gmail.com

Phone

03335026099

https://www.linkedin.com/in/ahmad-hussain-65965a2a1/

GitHub

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Academic

Program

Bachelor of Electrical Engineering

CGPA

3.01

Year

2026

Education

SEECS

Address

NUST H-12 , Islamabad , Pakistan

DOB

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Career

Current role

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Target role

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Skills

Verilog HDL, FPGA, SoC, Embedded Systems, AI-enabled hardware, Machine Learning, Digital System Design, Intel Quartus Prime, Embedded C, FreeRTOS, I2C, UART, SPI, Embedded Linux, Bootloaders, Linux Kernel Configuration, GPIO, Peripheral Interfacing, STM32, ESP32, Arduino, ATmega Microcontrollers, Jetson Orin Nano, UAV, IoT, 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.

Ahmad Hussain
Cell: 03335026099 |  Email: ahmad404302@gmail.com
LinkedIn: https://www.linkedin.com/in/ahmad-hussain-65965a2a1/
Address: NUST H-12 , Islamabad , Pakistan
PROFESSIONAL PROFILE
Final-year Electrical Engineering undergraduate at the National University of Sciences and Technology (NUST),  Pakistan, with
strong specialization in FPGA-based digital system design, embedded systems, 
and AI-enabled hardware solutions.
Demonstrated experience in Verilog HDL development, SoC-based system implementation, and applied machine learning for real-
world engineering problems, including medical imaging and precision agriculture. Actively engaged in research-driven innovation,
with a focus on low-latency, energy-efficient intelligent systems that bridge hardware acceleration and data-driven intelligence.
EDUCATION
Matriculation
Jauher Lyceum high school , Mianwali , 1038 / 1100 (2020)
Intermediate
PAEC model college for boys , Mianwali , 1023 / 1100 (2022)
Bachelor of Electrical Engineering
National University of Sciences and Technology (NUST) , Islamabad , 3.01/4 (2026)
INTERNSHIP EXPERIENCE
NUST Chip Design Centre (NCDC), Islamabad
17-Jun-2024 - 15-Aug-2024
Worked on FPGA-based digital system design using Verilog HDL on DE1-SoC platforms, covering RTL design, simulation, and on-
board implementation. Designed and implemented advanced digital systems, improving testing eﬃciency by 15% through optimized
veriﬁcation workﬂows. Enhanced overall design reliability and reduced project turnaround time by 20% via structured modular design
and iterative reﬁnement. Gained hands-on experience in digital system design, FPGA SoC architectures, and low-level hardware
implementation using Intel Quartus Prime and assembly-level concepts.
MachVis Lab (SEECS), NUST
05-Aug-2025 - 25-Jan-2026
Designed embedded ﬁrmware for FPGA-accelerated convolutional neural networks (CNNs) in medical imaging pipelines. Optimizing
inference latency by 16–22% while maintaining classiﬁcation accuracy across medical datasets. Contributing to accessible,
sustainable healthcare technologies aligned with digital innovation initiatives
FINAL YEAR PROJECT
Drone-Assisted Crop Disease Detection, Phenotyping, and Smart Spraying
Developing a UAV + IoT system with Jetson Nano–based edge computing for real-time disease detection, phenotyping, and precision
spraying using aerial (RGB, NDVI, thermal) and sensor data. Integrating autonomous spraying to reduce pesticide usage and
improve yield eﬃciency, enabling a scalable precision agriculture tool for sustainable farming. Contributes to AI for sustainable
agriculture and precision-farming innovation.
TECHNICAL EXPERTISE
Embedded Systems & IoT
Embedded C, FreeRTOS, I2C, UART, SPI, Embedded Linux, Bootloaders, Linux Kernel Conﬁguration, GPIO and Peripheral
Interfacing, STM32, ESP32, Arduino, ATmega Microcontrollers, Jetson Orin Nano

AI enrichment

Ahmad Hussain is a final-year Electrical Engineering undergraduate at NUST specializing in FPGA-based digital system design, embedded systems, and AI-enabled hardware solutions. He has practical experience in Verilog HDL development and optimizing embedded firmware for CNNs in medical imaging pipelines.

Skills (AI)

["Verilog HDL", "FPGA Design", "Embedded Systems", "Embedded C", "FreeRTOS", "IoT", "Linux Kernel Configuration", "STM32", "ESP32", "Jetson Nano", "Machine Learning", "Digital System Design", "SoC Architecture"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 51
Created: 1778168427