I am an AI Engineer with more than seven years of experience developing intelligent, scalable solutions across machine learning, deep learning, natural language processing, computer vision, and large language models. My work includes building predictive systems, training and evaluating neural networks, developing end-to-end data pipelines, fine-tuning language models, and creating medical image segmentation and annotation workflows. I am passionate about research-driven innovation, including hybrid quantum-classical machine learning and advanced computer vision applications such as deepfake detection. I enjoy translating complex technical challenges into practical outcomes, collaborating with multidisciplinary teams, mentoring emerging data science professionals, and communicating technical concepts clearly to both technical and non-technical audiences.

Aasma Iqbal

I am an AI Engineer with more than seven years of experience developing intelligent, scalable solutions across machine learning, deep learning, natural language processing, computer vision, and large language models. My work includes building predictive systems, training and evaluating neural networks, developing end-to-end data pipelines, fine-tuning language models, and creating medical image segmentation and annotation workflows. I am passionate about research-driven innovation, including hybrid quantum-classical machine learning and advanced computer vision applications such as deepfake detection. I enjoy translating complex technical challenges into practical outcomes, collaborating with multidisciplinary teams, mentoring emerging data science professionals, and communicating technical concepts clearly to both technical and non-technical audiences.

Available to hire

I am an AI Engineer with more than seven years of experience developing intelligent, scalable solutions across machine learning, deep learning, natural language processing, computer vision, and large language models. My work includes building predictive systems, training and evaluating neural networks, developing end-to-end data pipelines, fine-tuning language models, and creating medical image segmentation and annotation workflows.

I am passionate about research-driven innovation, including hybrid quantum-classical machine learning and advanced computer vision applications such as deepfake detection. I enjoy translating complex technical challenges into practical outcomes, collaborating with multidisciplinary teams, mentoring emerging data science professionals, and communicating technical concepts clearly to both technical and non-technical audiences.

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Language

Urdu
Fluent
English
Advanced

Work Experience

AI & Machine Learning Engineer at Integral Soft
October 1, 2024 - Present
Designed and developed AI systems using machine learning and advanced computational techniques to improve model performance and decision-making. Built and trained deep learning models with Python, TensorFlow, and PyTorch for image classification, computer vision, and predictive analytics. Developed and evaluated hybrid neural network architectures, managed preprocessing and feature-engineering pipelines, and optimized models through hyperparameter tuning and rigorous evaluation. Collaborated with data scientists and software engineers to align research with business outcomes, while contributing to technical documentation, research papers, and presentations.
Trainee Software Engineer at Nextbridge Limited
November 29, 2020 - February 28, 2021
Completed trainee software engineering responsibilities at Nextbridge Limited, developing foundational experience in software development, data processing, and technical problem-solving.
AI Engineer at Nextbridge Limited
February 28, 2020 - July 24, 2024
Preprocessed and analyzed datasets for training and testing, including missing-data handling, transformation, cleaning, and pattern identification. Worked with large language models including Llama, Llama 2, and Falcon, and evaluated their performance for real-world applications. Applied prompt engineering with ChatGPT, GPT-3.5 Turbo, and GPT-4 to develop conversational interfaces. Conducted 2D and 3D medical image segmentation and annotation for X-rays, CT scans, and MRIs, with a focus on spine imaging from L1 to S1. Annotated images and supported YOLO-based computer vision training using Roboflow. Mentored data science interns and presented data and findings to support business decisions.

Education

Master of Information Sciences at University of Canberra
July 22, 2024 - August 21, 2026
MS Data Science at Wuhan Textile University
September 11, 2021 - July 27, 2023
BS Computer Science at National Textile University
July 22, 2015 - August 25, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Healthcare, Education, Professional Services