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Shameer Ashraf

NUST · 2026

shameerisb@gmail.com

Phone

923099999228

https://www.linkedin.com/in/shameer-ashraf/

GitHub

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Academic

Program

Bachelors in Electrical Engineering

CGPA

3.86

Year

2026

Education

School of Electrical Engineering & Computer Science

Address

HOUSE# 620, GALI# 9, STREET# 10, I-10/2, ISLAMABAD , Islamabad , Pakistan

DOB

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Career

Current role

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Target role

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Skills

Python, C, C++, MATLAB, CUDA, Computer Vision, Machine Learning, Robotics, Reinforcement Learning, Jetson, Pixhawk, Quartus, Proteus, LabVIEW, AutoCAD, QGIS

Interests / quote

Electrical Engineering undergraduate at NUST with a strong focus on Artiﬁcial Intelligence, Computer Vision, and Robotics. Experienced in developing real-world AI systems, high-performance computing, and autonomous perception pipelines. Seeking opportunities to apply machine learning and embedded intelligence to impactful engineering and research problems.

Verbatim text

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Shameer Ashraf
Cell: 923099999228 | Email: shameerisb@gmail.com
LinkedIn: https://www.linkedin.com/in/shameer-ashraf/
Address: HOUSE# 620, GALI# 9, STREET# 10, I-10/2, ISLAMABAD , Islamabad , Pakistan
PROFESSIONAL PROFILE
Electrical Engineering undergraduate at NUST with a strong focus on Artiﬁcial Intelligence, Computer Vision, and Robotics.
Experienced in developing real-world AI systems, high-performance computing, and autonomous perception pipelines. Seeking
opportunities to apply machine learning and embedded intelligence to impactful engineering and research problems.
EDUCATION
Bachelors in Electrical Engineering
School of Electrical Engineering & Computer Science , Islamabad , 3.86 (2026)
INTERNSHIP EXPERIENCE
ITSOLERA
24-Aug-2024 - 24-Oct-2026
Worked on real-world computer vision applications Developed an end-to-end pipeline for 3D reconstruction of ancient artifacts
Deep Learning Lab, NUST
24-Jul-2024 - 24-Aug-2026
Implemented neural networks and convolution operations using CUDA. Led and supervised fellow interns. Studied transformer-based
hand-pose estimation methods.
Computer Vision Lab, SEECS, NUST
23-Jul-2026 - 23-Sep-2026
Learned Python, Machine Learning, and Deep Learning fundamentals. Developed a pipeline for point-to-polygon data conversion.
FINAL YEAR PROJECT
Autonomous Vision-Based UAV System
This project focuses on developing an Autonomous Catching UAV designed to identify, follow, and safely capture unauthorized aerial
objects in real time. The system operates fully onboard using edge computing on an NVIDIA Jetson, enabling vision-based detection,
tracking, and decision-making without reliance on ground control stations. A Pixhawk Cube Orange ﬂight controller ensures reliable
navigation, precise control, and stable autonomous ﬂight, while a depth camera provides accurate 3D perception for close-range
localization and maneuvering. The result is a smart aerial platform capable of autonomous situational awareness and coordinated
interaction in complex airspaces.
TECHNICAL EXPERTISE
Programming Languages:
Python, C, C++, MATLAB, CUDA
Knowledge Domains:
Computer Vision, Machine Learning, Robotics, Reinforcement Learning
Tools & Frameworks:
Jetson, Pixhawk, Quartus, Proteus, LabVIEW, AutoCAD, QGIS

AI enrichment

Shameer Ashraf is an Electrical Engineering undergraduate at NUST with a 3.86 CGPA, specializing in AI, computer vision, and robotics. He has internship experience in deep learning and computer vision, and is currently developing an autonomous UAV system for his final year project.

Skills (AI)

["Python", "C++", "CUDA", "Computer Vision", "Machine Learning", "Deep Learning", "Robotics", "NVIDIA Jetson", "Pixhawk", "MATLAB", "C"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 3
Created: 1778168427