Abdul Bari is an AI Engineer with over four years of experience specializing in machine learning and computer vision. Holding an M. Tech in Artificial Intelligence from the University of Hyderabad, he develops end-to-end AI solutions for surveillance, including models for fire, smoke, and abnormal crowd detection.
He demonstrates a strong commitment to continuous learning by actively pursuing new skills. Recently, he completed certifications in advanced topics like Prompt Engineering with Llama models and Transformers, as well as a Coursera specialization course in AI for medical diagnosis, showcasing his passion for expanding his expertise.
He co-authored and published a research paper on using deep transfer learning for fire detection in surveillance videos.
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