Muhammad Izhar

I am an AI/ML engineer with hands-on experience building deep learning and federated learning systems, currently contributing to production AI at Stemeta AI. I focus on designing models that are accurate, privacy-preserving, and deployable at scale.

My experience spans end-to-end ML development: model design with TensorFlow and PyTorch, data processing with Pandas and NumPy, and computer vision with OpenCV. I have applied these skills to projects such as short-term load forecasting and NLP sequence models.

I have implemented MLOps and deployment solutions using Docker, Azure Containers, Flask, and REST APIs, and I routinely collaborate with cross-functional teams to integrate AI into product features. Past roles include internships where I led a federated learning project and built sports recognition and inventory management systems.

I bring a results-driven mindset, strong practical skills in model optimization and deployment, and a commitment to building robust, production-ready AI solutions that respect privacy and operational constraints.