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Amna Ahmed

NUST · 2022
Email
amnaahmed567@gmail.com
Phone
923364563881
LinkedIn
https://www.linkedin.com/in/amna-mustajeeb-133327260/
GitHub

Academic

Program
Bachelors in Software Engineering
CGPA
3.18
Year
2022
Education
SEECS
Address
J2/204 PARCO Housing Complex , Mehmood kot , Pakistan
DOB

Career

Current role
Target role
Skills
AutoCAD, Cisco Packet Tracer, WireShark, ModelSim, Proteus, MATLAB, ArcGIS, Google Earth Engine, Google Earth Pro, Python, SQL, C, Java, C++, C#, JavaScript, HTML, CSS, Machine Learning, Transformer-based models, Remote Sensing, SAP ERP, Predictive Analytics, LLM evaluation, UI generation, Deep Learning, EEG signal processing, Explainable AI
Interests / quote
Passionate individual eager to explore the limitless potential of AI, I'm constantly seeking opportunities to apply my skills and contribute to innovative projects that push the boundaries of technology.

Verbatim text

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Amna Ahmed
Cell: 923364563881 |  Email: amnaahmed567@gmail.com
LinkedIn: https://www.linkedin.com/in/amna-mustajeeb-133327260/
Address: J2/204 PARCO Housing Complex , Mehmood kot , Pakistan
PROFESSIONAL PROFILE
Passionate individual eager to explore the limitless potential of AI, I'm constantly seeking opportunities to apply my skills and
contribute to innovative projects that push the boundaries of technology.
EDUCATION
Bachelors in Software Engineering
SEECS , islamabad , 3.18 (2022)
INTERNSHIP EXPERIENCE
Machine Vision and Intelligence System Lab, SEECS
01-Aug-2024 - 30-Sep-2024
Led a research project on remote sensing image change detection, leveraging both traditional machine learning and transformer-
based models. Preprocessed and analyzed large-scale satellite imagery datasets, improving detection accuracy for environmental
monitoring.
PARCO-Pak Arab Refinery Ignite Summer Internship
01-Jul-2025 - 30-Sep-2025
Worked on PARCO AI Hub Contributed to IT digitalization projects and explored SAP ERP modules. Studied predictive analytics
applications for refinery operations
WebbsAI
01-Oct-2025 - 01-Dec-2025
Designed and categorized UI-focused LLM evaluation tasks covering UI generation, understanding, modification, and testing
FINAL YEAR PROJECT
Gaze-Guided Explainable AI for EEG-Based Brain Disorder Classification
Designed a multimodal AI framework that integrates clinician eye-tracking data with EEG signals to improve diagnostic accuracy and
model transparency. Developed a gaze-based EEG annotation tool to capture expert visual attention in real time and align it with
neural signal classification. Trained gaze-guided deep learning models to highlight clinically relevant EEG regions, enabling
explainable predictions and reducing expert labeling effort. The system addresses neurologist scarcity by bridging human expertise
with AI-driven, interpretable decision support for brain disorder diagnosis.
TECHNICAL EXPERTISE
Engineering & Simulation
AutoCAD, Cisco Packet Tracer, WireShark, ModelSim, Proteus, MATLAB
Geospatial & Remote Sensing
ArcGIS, Google Earth Engine, Google Earth Pro
Programming & Development
Python, MATLAB, SQL, C, Java, C++, C#, JavaScript, HTML, CSS

AI enrichment

Amna Ahmed is a recent Software Engineering graduate with a 3.18 CGPA and internship experience in AI, machine vision, and enterprise digitalization. Her academic work includes a final year project on multimodal AI for EEG-based brain disorder classification, demonstrating skills in deep learning and data analysis.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "Transformer Models", "Remote Sensing", "EEG Signal Processing", "SQL", "C++", "Java", "MATLAB", "AutoCAD", "ArcGIS", "SAP ERP", "UI Evaluation"]
Status: ai_done
Provenance
Source file: SEECS - Software Engineering-2026(1).pdf
From job #260 page 68
Created: 1778138736