Faizan Shaikh is a data scientist and deep learning researcher with 11 years of industry and academic experience, now pursuing doctoral research in data science at Karlstad University while based in Sweden. His work blends practical ML product experience from Analytics Vidhya with academic deep reinforcement learning research at the University of Heidelberg, focusing on decision neuroscience and human foraging simulations. He has published and taught applied deep learning across computer vision, NLP and speech, and authored a full course on Deep Learning for Computer Vision. Comfortable switching between engineering and research, he contributes to open source projects on GitHub and often frames experiments with reproducible MDP pipelines. Faizan’s background spans end-to-end model development, educational content creation, and bridging simulation-based research with real-world AI applications.
11 years of coding experience
6 years of employment as a software developer
Master's degree Artificial Intelligence and Data Science , Master's degree Artificial Intelligence and Data Science at University of South Bohemia in České Budějovice
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Pune Institute of Computer Technology
Doctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at Karlstad University
Master's degree Artificial Intelligence and Data Science, Master's degree Artificial Intelligence and Data Science at Deggendorf Institute of Technology
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