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I am an AI engineer with practical experience in building machine learning models for computer vision, medical imaging, and automation. I am proficient in Python and PyTorch, with a solid understanding of ML pipelines, model evaluation, and end-to-end deployment. I have exposure to Generative AI concepts and tools, such as transformers and diffusion models, and I am passionate about applying AI to solve impactful real-world problems. Currently, I am working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. I have experience developing generative AI-based synthetic image generation pipelines and designing end-to-end ML pipelines from data collection to model benchmarking and deployment.…I am an AI engineer with practical experience in building machine learning models for computer vision, medical imaging, and automation. I am proficient in Python and PyTorch, with a solid understanding of ML pipelines, model evaluation, and end-to-end deployment. I have exposure to Generative AI concepts and tools, such as transformers and diffusion models, and I am passionate about applying AI to solve impactful real-world problems. Currently, I am working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. I have experience developing generative AI-based synthetic image generation pipelines and designing end-to-end ML pipelines from data collection to model benchmarking and deployment.

Pakeeza Atif

AI Engineer, Developer, Data Scientist, +2

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I am an AI engineer with practical experience in building machine learning models for computer vision, medical imaging, and automation. I am proficient in Python and PyTorch, with a solid understanding of ML pipelines, model evaluation, and end-to-end deployment. I have exposure to Generative AI concepts and tools, such as transformers and diffusion models, and I am passionate about applying AI to solve impactful real-world problems. Currently, I am working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. I have experience developing generative AI-based synthetic image generation pipelines and designing end-to-end ML pipelines from data collection to model benchmarking and deployment.…I am an AI engineer with practical experience in building machine learning models for computer vision, medical imaging, and automation. I am proficient in Python and PyTorch, with a solid understanding of ML pipelines, model evaluation, and end-to-end deployment. I have exposure to Generative AI concepts and tools, such as transformers and diffusion models, and I am passionate about applying AI to solve impactful real-world problems. Currently, I am working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. I have experience developing generative AI-based synthetic image generation pipelines and designing end-to-end ML pipelines from data collection to model benchmarking and deployment.

Available to hire

I am an AI engineer with practical experience in building machine learning models for computer vision, medical imaging, and automation. I am proficient in Python and PyTorch, with a solid understanding of ML pipelines, model evaluation, and end-to-end deployment. I have exposure to Generative AI concepts and tools, such as transformers and diffusion models, and I am passionate about applying AI to solve impactful real-world problems.

Currently, I am working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. I have experience developing generative AI-based synthetic image generation pipelines and designing end-to-end ML pipelines from data collection to model benchmarking and deployment.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Research Officer at National Aerospace Science and Technology Park (NASTP)

March 1, 2025 - Present

Working on AI projects in agriculture and autonomous drone systems using deep learning and computer vision techniques. Built and annotated custom drone datasets; integrated different techniques for tracking. Developed a Generative AI-based synthetic image generation pipeline using Stable Diffusion to address limited drone image data, enabling the creation of diverse training scenarios. Designed end-to-end ML pipelines from data collection and augmentation to model benchmarking. Currently involved in real-world product development and deployment.

Coding fellow at Murrabi, NUST

March 1, 2025 - July 21, 2025

Developed educational coding content and ML tutorials for learners. Mentored 300+ students on python and machine learning project implementation.

Research Assistant at Smart Agritech Lab, SINES NUST

March 1, 2024 - July 21, 2025

Designed an AI pipeline for Automatic Number Plate Recognition (ANPR) system using YOLO for license plate detection and EasyOCR for character extraction. Achieved 89% character-level accuracy on real-world vehicle dataset. Built the solution on a custom, self-annotated dataset created through manual labeling and preprocessing pipelines. Created image annotation, noise reduction, normalization, and data transformation workflows using Roboflow and OpenCV.