Afnan Ajmal

Academic

Career

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Afnan Ajmal
Data Science Student | Machine Learning Developer
afnanajmal03@gmail.com | 03314027792
Islamabad, 44000 Pakistan

PROFESSIONAL SUMMARY
Final-year Data Science student at COMSATS Islamabad with hands-on experience in machine learning, CNN-based image classification, and deploying models on AWS. Over a year of freelancing on Upwork, delivering practical AI solutions and full-stack applications. I’m passionate about building real-world tools that work well and help people.

PROFILES
• linkedin.com/in/afnan-ajmal
• https://github.com/AfnanAjmal

SKILLS
• Proficient in Python programming
• Machine learning expertise
• Web development fundamentals
• Machine vision techniques
• API development expertise
• Advanced deep learning
• WordPress development

EXPERIENCE
Intern | Devhawks (NASTP) - Islamabad
11/2024 - Current
• Working on Artif3 3D, an industrial-level project aligned with my Final Year Project.
• Developing an AI-powered pipeline: Sketch → Image (LCTN) → Image Enhancement (Stable Diffusion) → 3D Model Generation.
• Integrated RNN (Sketch-RNN) to provide real-time sketch recommendations on canvas.
• Collaborating with mentors at Devhawks to apply state-of-the-art computer vision and generative AI techniques in an industrial setting.
• Designing a web-based platform for interactive sketch-to-3D generation, bridging research with real-world application.

Freelancer | Upwork - Remote
04/2024 - Current
• Completed many machine learning projects on Upwork, primarily focused on Convolutional Neural Networks (CNNs) for image classification.
• Developed and trained CNN models for animal image classification, experimenting with multiple architectures for different classes.
• Applied feature fusion/ensemble techniques by combining outputs from multiple trained models to improve overall accuracy.
• Delivered high-quality, client-focused solutions in computer vision, deep learning, and web development.

EDUCATION
Comsats University Islamabad (CUI) - Islamabad
Expected in 02/2026
Bachelor of Science: Data Science
• 3 GPA

PROJECTS
• Animal Classification with CNNs (Upwork – 2025)
Trained and optimized 8 CNN models for multi-class animal image classification, and applied feature fusion/ensembling to boost accuracy.
• Cricket Score Prediction (Upwork – 2025)
Developed and evaluated multiple ML models for score prediction; deployed the solution on AWS EC2 for client use.
• Age Detection with OpenCV (Personal Project – 2025)
Implemented an age detection system using a pretrained CNN model integrated with OpenCV for real-time video streams.
• Potato Disease Detection (Personal Project – 2025)
Built a CNN-based image classification model to identify potato leaf diseases, supporting precision agriculture applications.
• Artif3 3D (Final Year Project – 2025)
End-to-end pipeline: Sketch → Colorized Image → Enhanced Image (Stable Diffusion) → 3D Model.
Integrated LCTN for sketch-to-image translation and RNN (Sketch-RNN) for live sketch recommendations.
Designed interactive web dashboard enabling users to draw/upload sketches and generate 2D/3D outputs.

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