Wazeer Zulfikar is a research-driven machine learning engineer and PhD student at MIT with a decade of hands-on experience across industry and academic labs, currently contributing to the Fluid Interfaces Group at the MIT Media Lab. He blends deep learning, computer vision and audio ML expertise from roles at Optimus Ride, Ubicept, Samsung SDIC, and a student researcher stint at Google DeepMind. His background includes early neuroinformatics and brain-research experience at the McGovern Institute and INCF, reflecting a long-standing interest in bridging neuroscience and AI. A BITS Pilani alum who also completed a Kaggle-backed ML Nanodegree, he is driven by the goal of emulating the human brain and brings both production-focused perception engineering and exploratory research skills. US citizenship and Cambridge-based positioning make him readily available for roles across the U.S. Beyond typical research credentials, he combines creative technologist instincts with product-aware engineering—having moved between prototyping environments and deployed perception systems.
10 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Massachusetts Institute of Technology
Machine Learning Nanodegree, Co-Created by Kaggle, Machine Learning Nanodegree, Co-Created by Kaggle at Udacity
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