Zeeshan Haider

Academic

Career

Verbatim text

Zeeshan Haider
Cell: 923088370350 |  Email: zeeshanh641786@gmail.com
LinkedIn: https://www.linkedin.com/in/zeeshan-haider-5a5522242?
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Address: DHOKE JABBI, PO THOHA MEHRAM KHAN, TEHSIL CHAKWALTALAGANG, DISTRICT , Talagang , Pakistan
PROFESSIONAL PROFILE
I’m a final-year Electrical Engineering student at NUST, and I’ve built a solid base in control systems, electronics, and digital logic. I
like diving into projects that mix classic engineering with newer skills like embedded systems and computer vision, to create smart,
automated solutions. My hands-on work covers everything from building hardware stabilization units (like gimbals), to setting up real-
time visual tracking, to working with FPGA-based systems. Now, I’m looking for a role in Embedded Systems,Computer Vision,
Electrical or Instrumentation engineering where I can put my system design and automation skills to work and take on tough problems
head-on.
EDUCATION
BE Electrical Engineering
SEECS , Islamabad , 2.6 (4th)
INTERNSHIP EXPERIENCE
Korea EHT
20-Jul-2024 - 18-Sep-2024
Engineering Intern KoreaEHT (Remote) | July 2024 – Sep 2024 Gained specialized knowledge in Electrical Heat Tracing (EHT)
systems for industrial piping, tanks, and freeze protection applications. Analyzed technical specifications for diverse heating solutions,
including Mineral Insulated (MI) and Self-Regulating cables, to understand their application in hazardous and non-hazardous zones.
Assisted in the transition from manual estimation to a digital platform by mapping out engineering constraints and cable selection
logic. Collaborated with the marketing team to enhance digital presence, translating technical product features into accessible content
for social media engagement.
System on Chip (SoC) Lab, SEECS NUST
15-Jun-2025 - 15-Sep-2025
Research Intern System on Chip (SoC) Lab, SEECS NUST | June 2025 – Sep 2025 Worked on the initial R&D phase of the "Edge-AI
Accelerator" project, focusing on FPGA-powered solutions for medical healthcare. Deepened technical expertise in Digital System
Design through hands-on exercises and study of advanced logic synthesis techniques. Performed a comprehensive feasibility
analysis (Literature Review) to select the best algorithms for on-chip medical diagnosis. Collaborated with research advisors to
finalize the project roadmap, demonstrating diligence in executing complex technical tasks.
FINAL YEAR PROJECT
Edge-AI Accelerator: FPGA-Powered Real-Time Diagnosis and Report Genetration
Our Final Year Project focuses on the design and implementation of an Edge AI accelerator using a Xilinx Virtex-7 FPGA for medical
imaging based disease diagnosis and automated report generation specifically targeting healthcare challenges in Pakistan’s rural and
resource-constrained areas.
TECHNICAL EXPERTISE
Embedded Systems Design
Hands-on experience in designing and implementing embedded systems, including hardware software integration, sensor interfacing,
and real-time control applications.

AI enrichment