Naveed Q.
Director of Artificial Intelligence @Ontario Medical Association
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WORK HISTORY
Director of Artificial Intelligence @Ontario Medical Association
Toronto, ON, CA
Spearheading the OMA\'s scope on AI, bridging the gap between member needs and innovation through cutting-edge engineering. I lead the transition from traditional analytics to Generative AI, focusing on secure, high-impact solutions that empower Ontario\'s physicians.• AI Strategy & Governance: Defining the organizational roadmap and championing Responsible AI frameworks to ensure ethical, secure, and compliant deployment within sensitive healthcare contexts.• Azure AI Architecture: Leveraging Azure AI Foundry to architect, build, and deploy scalable AI solutions, moving critical projects from proof-of-concept to production-grade environments.• AI Agents: Directing the engineering of autonomous AI Agents and conversational interfaces via Azure AI Foundry to automate complex workflows and enhance member services.• LLMOps & Lifecycle Management: Establishing robust pipelines for fine tuning Large Language Models to monitor performance, cost, and reliability, ensuring sustainable and continuous improvement.
EDUCATION
Udacity
Nano Degree, Data Scientist
Karachi University
Bachelor of Science - BSc, Physics
Quaid-i-Azam University, Islamabad
Master of Science - MSc, Electronics
Chosun University
Master of Engineering - MEng, Computer Engineering
McGill University
Postdoctoral Research Fellow
Gwangju Institute of Science and Technology
Doctor of Philosophy (Ph.D.)
University of Toronto
Postdoctoral Research Fellow
ABOUT NAVEED Q.
Director of Artificial Intelligence Engineering, Data Science at Ontario Medical AssociationAI Strategy and Governance | Responsible AI | AI agents | Azure AI Foundry | Copilot Studio | LLMOpsTargeting | Innovation using Instrument Raw Data | Hyper-spectral | XRF | High Resolution Imaging | Remote Sensing | Generative AI and LLMs | Cloud Computing DataBricks | Digital Transformation | Emerging Technologies Review | Scientific Publications | Software Product Development | DevOps | MLOpsExpert in geospatial and geodynamic predictive modellingSpecialized in higher-dimensional (2D, 3D, and 4D) data-based prediction modelling 16+ years of experience in data science and engineering rolesData product life cycle from inception to business impactExpert in artificial intelligence, machine, and deep learning, data science, and health informatics Expert in image processing and computer visionExpert in statistical analysis and modelling techniques Expert in ELT and SQL toolsExcellent capabilities of Python, C, Shell, R, and MATLAB scriptingExcellent skills of working in large-scale high-performance computing environment for distributive computingWell-versed with deep learning architectures of TensorFlow, PyTorch, and KerasPredictive modelling using time-series data Classification, data discrimination, object detection, tracking, recognition and segmentationHighly adaptive with fast-paced work environmentsReceived over 1800 citations on first authored peer-reviewed publications in prestigious Q1 scientific journals Presented and attend across the globe multiple flagship conferences and NuraIPS Please see complete publication record at Google Scholar and ResearchGate
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