Ai Researcher

AI/ML Engineer and Research Scientist with 3+ years of hands-on experience building, training, and deploying deep-learning systems across computer vision, medical image analysis, explainable AI, and time-series forecasting. Co-author of a peer-reviewed PLOS ONE publication (2026) and a second manuscript under review at Scientific Reports. Skilled in PyTorch and TensorFlow, end-to-end ML pipelines, multi-GPU training, and shipping models as interactive web demos.

Looking to apply research-grade modeling skills to real-world AI/ML products.

Lead Research Scientist at RaiseLabs (2024-01 – Present)

• Lead end-to-end ML/DL research projects: problem definition, dataset curation, model design, training, evaluation, and publication.
• Design novel deep-learning architectures and produce publication-quality architecture diagrams for peer-reviewed journals.
• Maintain reproducible PyTorch training pipelines on multi-GPU setups; run systematic hyperparameter optimization and ablation studies.
• Mentor a team of junior researchers and lead research dissemination through the lab's technical channel.

AI / ML Research Assistant at Independent Research (2023-01 – Present)

• Conducted research in medical image analysis using CNNs, U-Net variants, attention modules, and explainable-AI methods (Grad-CAM, SHAP, LIME).
• Studied communication-efficient and distributed deep learning, including gradient quantization, sparsification, and error-feedback methods.

Technical Writer & Content Lead at Freelance (2023-01 – Present)

• Authored technical articles and research summaries on deep learning, computer vision, and AI engineering.
• Built and deployed portfolio sites, demo apps, and research dashboards (Streamlit, Netlify).

B.S. in Computer Science – University of Education, Lahore (2022-09 – 2026-06)

FSc in Pre-Engineering – Superior Group of Colleges, Vehari (2020-09 – 2022-06)