I am an AI Engineer and Data Scientist with over three years of experience specializing in machine learning, computer vision, and NLP. I have developed and deployed end-to-end ML pipelines using frameworks like TensorFlow, Keras, and scikit-learn, working effectively with tools such as Docker and cloud platforms including AWS, GCP, and Azure. My professional projects span agriculture, healthcare, and academic sectors, and I am adept at optimizing models on GPU and TPU hardware.
As a Teaching Assistant at Lotus University, I lead practical and lab sessions to facilitate student learning in Computer Science and AI. In my freelancing and analyst roles, I have delivered AI applications, dashboards, and forecasting models, always aiming to provide clean, user-friendly solutions under performance constraints. I am passionate about applying AI technologies to drive impactful, scalable results and supporting both technical teams and students in their growth.
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