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Transforming complex data into actionable insights through cutting-edge AI solutions. Passionate about revolutionizing healthcare through medical imaging and advancing the frontiers of artificial intelligence.
Explore My WorkI'm a data scientist and AI researcher dedicated to pushing the boundaries of artificial intelligence. My work focuses on solving complex problems through innovative technology solutions that make a real-world impact.
Bachelor of Science in Data Science/Analytics
Centre of Data Science | Registration No: 2021-GCUF-03490
Government College University Faisalabad (2021-2025)
Research Publications: 3+ papers in top-tier journals (Elsevier, SAJB, EJET)
Research Assistant: Undergraduate Research Assistant at GCUF
Dean\'s List: Consistent academic excellence throughout the program
Thesis Project: AI-Powered Medical Imaging Framework (99.5% accuracy)
Advanced Mathematics: Linear Algebra, Calculus, Statistics, Probability Theory
Computer Science: Data Structures, Algorithms, Database Systems, Software Engineering
Data Science: Machine Learning, Deep Learning, Data Mining, Big Data Analytics
Specialized Courses: Medical Informatics, AI Ethics, Federated Learning, Computer Vision
Professional Certifications:
• TensorFlow Developer Certificate - Google
• AWS Certified Machine Learning - Specialty
• Microsoft Azure AI Engineer Associate
• Deep Learning Specialization - Coursera (Andrew Ng)
• Advanced Data Science with Python - IBM
Machine Learning Engineer - SANWA SYSTEM SERVICE CO. LTD (July 2025 - Present)
Undergraduate Research Assistant - Center of Data Science, GCUF (Dec 2024 - June 2025)
Machine Learning Internship (Remote) - NextGen Learner (June 2024 - Oct 2024)
Computer Assembler & System Technician - Rex City (July 2019 - April 2021)
With expertise in deep learning, medical image processing, and federated learning, I develop cutting-edge solutions for medical diagnosis, deepfake detection, and secure AI systems that contribute to early disease detection and improved clinical decision-making.
Published 3+ research papers in top-tier journals (Elsevier, SAJB, EJET) with groundbreaking achievements including 99.5% accuracy in medical AI diagnosis systems and 92.85% SOTA accuracy in deepfake detection frameworks.
Pioneering cutting-edge solutions by combining Vision Transformers, Perceiver IO, and advanced AI architectures to solve complex real-world problems in healthcare, security, and business intelligence.
Strong background in research collaboration and team leadership, with experience as an Undergraduate Research Assistant and proven ability to work across multidisciplinary teams to deliver impactful solutions.
Expertise in emerging technologies including Large Language Models, Generative AI, Federated Learning, and Blockchain integration, ensuring solutions that are not just current but future-proof.
Beyond technical excellence, I understand business needs and deliver solutions that drive measurable results, from interactive Power BI dashboards to AI systems that improve clinical decision-making.
Committed to staying at the forefront of AI/ML advancements through continuous research, professional development, and active engagement with the latest technologies and methodologies in data science.
Hybrid ViT+Perceiver IO model achieving 99.5% accuracy across six diseases including Stroke, Alzheimer's, and Pneumonia using 30,000+ multi-modal images.
Novel Fourier-based framework for audio-visual deepfake detection achieving 92.85% SOTA accuracy with strong cross-dataset generalization capabilities.
Innovative GAN-blockchain-privacy framework achieving 95%/98% accuracy/detection rates, revolutionizing federated learning security for healthcare and financial sectors with enhanced privacy preservation.
Advanced conversational AI systems with natural language understanding, context awareness, and multi-domain knowledge integration. Deployed across healthcare, education, and customer service applications.
Comprehensive data analytics platform with real-time processing capabilities, interactive visualizations, and machine learning-powered insights for business intelligence and decision-making support.
My technical expertise spans across cutting-edge AI/ML technologies, advanced data science methodologies, and modern development frameworks. I specialize in building scalable, production-ready solutions that bridge the gap between research and real-world applications.
Expert in implementing and fine-tuning Vision Transformers for medical imaging, achieving 99.5% accuracy in multi-disease classification tasks.
Advanced experience in hybrid architectures combining Perceiver IO with traditional CNNs for enhanced performance in complex data processing.
Proficient in GANs for data augmentation, synthetic data generation, and privacy-preserving federated learning applications.
Specialized in secure federated learning frameworks with blockchain integration, achieving 95% accuracy while maintaining privacy.
Implementation of privacy-preserving mechanisms in ML pipelines, ensuring data protection without compromising model performance.
Novel Fourier-based multimodal frameworks for audio-visual deepfake detection with 92.85% SOTA accuracy.
Expertise in handling large-scale datasets (30,000+ medical images) with efficient preprocessing and feature extraction pipelines.
Advanced Power BI dashboard development for business intelligence, cryptocurrency analysis, and streaming platform analytics.
Comprehensive statistical analysis, hypothesis testing, and predictive modeling using Python, R, and advanced ML algorithms.
End-to-end ML pipeline development with Docker containerization, CI/CD integration, and cloud deployment on AWS/Azure.
Proficient in Python, JavaScript, and modern frameworks for building scalable web applications and APIs.
Advanced Git workflows, collaborative development practices, and project management for research and industry projects.
I'm always excited to discuss new opportunities, research collaborations, or innovative projects. Let's connect and create something extraordinary together.