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Aqeedat Fatima

NUST · 2026

aqeedat57@gmail.com

Phone

923166310404

https://www.linkedin.com/in/aqeedat-fatima-9835673a8/

GitHub

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Academic

Program

BSCS

CGPA

2.94

Year

2026

Education

SEECS

Address

Bahawalpur, Pakistan

DOB

—

Career

Current role

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Target role

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Skills

UI/UX Design, Frontend Development, AI/ML, Python, Data Preprocessing, Feature Extraction, Model Training, Deep Learning, Image Quality Scoring, Data Visualization

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.

Aqeedat Fatima
Cell: 923166310404 | Email: aqeedat57@gmail.com
LinkedIn: https://www.linkedin.com/in/aqeedat-fatima-9835673a8/
Address: HOUSE NO. 2C, RASHID MINHAS ROAD, MODEL TOWN A , Bahawalpur , Pakistan
PROFESSIONAL PROFILE
UI/UX designer with freelance experience collaborating with three agencies to design emails and landing pages for diverse brands.
Skilled in creating visually engaging, conversion-focused designs and turning concepts into responsive, user-friendly interfaces.
Passionate about crafting intuitive digital experiences and continuously expanding technical expertise, including frontend
development and AI-driven workflows.
EDUCATION
Computer Science
School of Electrical Engineering and Computer Science , Bahawalpur , 2.94 (2026)
INTERNSHIP EXPERIENCE
Oryns Solutions
01-Jun-2025 - 31-Jul-2025
Worked on AI and machine learning fundamentals, including data preprocessing, feature extraction, and model training. Assisted in
building and evaluating machine learning models for real-world problem statements. Gained hands-on experience with Python-based
AI tools and libraries for data analysis and model implementation. Analyzed datasets, improved model performance, and interpreted
results to support decision-making. Collaborated with mentors to understand AI workﬂows, ethical considerations, and deployment
concepts.
FINAL YEAR PROJECT
Agrivision: a crop health and farm monitoring system
Designed and implemented a scalable AI-based crop health monitoring platform leveraging deep learning for cotton leaf disease
detection, custom image quality scoring (blur and brightness analysis), risk-aware decision logic, interactive data visualizations, and
automated PDF reporting, with planned extensions for growth-stage tracking and satellite-driven field analytics.
TECHNICAL EXPERTISE
UI/UX Design & Frontend Development (with AI/ML Exposure)
UI/UX designer and frontend developer with hands-on experience in creating user-centered interfaces, interactive prototypes, and
responsive web applications. Skilled in translating design concepts into clean, functional code using modern frontend technologies.
Additionally, have foundational exposure to machi ...

AI enrichment

Aqeedat Fatima is a final-year Computer Science student with a focus on UI/UX design and frontend development, supplemented by internship experience in AI and machine learning. She has practical freelance experience creating responsive interfaces and has developed an AI-based crop health monitoring system for her final year project.

Skills (AI)

["UI/UX Design", "Frontend Development", "Python", "Machine Learning", "Deep Learning", "Data Preprocessing", "Responsive Web Design", "AI Workflows", "Figma", "HTML/CSS"]

Status: ai_done

Provenance

Source file: SEECS - Computer Science-2026.pdf
From job #258 page 147
Created: 1778167261