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Doctor of Philosopy - PhD, Computer Science

University of Warwick, Coventry, United Kingdom

• Formulated weakly-, semi-, and unsupervised deep learning based pipelines and frameworks for optimised performance and digital biomarker discovery in giga-pixel image diagnosis and prognosis.
• Collaborated with a team of medical researchers to design and execute a comprehensive study on the clinical impact of the trained models; presented findings at international medical conferences.
• Supervised computational pathology, computer graphics and programming fundamental labs for graduates and undergraduates.

Master's Degree, Computer Science

National University of Science and Technology, Islamabad, Pakistan

• Built an unsupervised framework using convolutional neural networks (CNN) for intelligent surveillance of vehicle re-identification, alleviating the need for annotated data and resulting performance increase of 5-10%.
• Created a reliable real-time pothole detection and classification system using mobile motion sensors with 0 latency. The system demonstrated accuracy and efficiency, enabling faster identification and resolution of road hazards to improve overall safety and reduce vehicle damage.
• Implemented and optimized machine/deep learning server infrastructure, including installation and configuration of hardware and software components, to ensure reliable and efficient operation for data-intensive workloads saving 3-5 hours per day.

Machine Learning Scientist

Ground Truth Labs, Oxford, United Kingdom

• Develop and implement advanced machine learning algorithms and models to analyze large datasets e.g., TCGA, TCIA and GTex, uncover patterns, and make data-driven predictions.
• Collaborate with cross-functional teams to design, validate, and deploy machine learning solutions that address complex business challenges and improve decision-making processes.
• Stay up-to-date with the latest advancements in machine learning and AI research, and leverage that knowledge to drive innovation and continuous improvement within the organization.

Research Assistant

University of Warwick, Coventry, United Kingdom

• Designed and built graph neural networks (GNNs) for exploring new digital diagnostic and prognostic biomarkers in oral epithelial dysplasia (OED), boosting accuracy by 10%.
• Developed deep learning frameworks for medical image analysis using PyTorch and TensorFlow and leveraged NumPy, Scikit-learn, Pandas for data preprocessing and analysis, resulted in improved model accuracy by 5-10% in multiple projects.
• Performed research on the effectiveness of newly discovered biomarkers in clinical settings; published findings in peer-reviewed medical journals.

Visiting Lecturer

National University of Science and Technology, Islamabad, Pakistan

• Taught advanced undergrad courses on Machine Learning and Computer Vision to 3rd and 4th year students in SEECS and IGIS.

Software Engineer

Aurea Software, Remote

• Optimised and maintained multiple projects by enhancing their functionality and fixing complex bugs in the existing workflows using Java; reduced manual inspection of code saving up to 5+ hours per week with automated tests.
• Executed automated test cases using JUnit and Selenium, increasing the overall code coverage for test cases up to 95%.
• Integrated changes on Docker, Jenkins, GitHub, and AWS, ensuring seamless functionality of the existing system.

Software Engineer

PlanetBeyond, Islamabad, Pakistan

• Implemented high-throughput value added services (VAS) for multiple telecom operators, resulting in increased revenue and customer satisfaction.
• Oversaw the software development lifecycle of VAS services and mobile apps, for timely and efficient delivery of critical projects.
• Employed Java Core, SQL, HTML, Spring, Hibernate, Angular, and Python with Maven and Gradle for design, development, testing and deployment of VAS applications.

• Chancellor's International Scholarship from University of Warwick

• Silver Medal in BS Computer Science from University of Arid Agriculture, Rwalpindi, Pakistan