Vijay M is an AI research master's student at Institut Polytechnique de Paris with five years of hands-on experience applying machine learning to industrial and scientific problems. He has competed in 12+ AI hackathons, contributed to a peer-reviewed publication with another in progress, and built end-to-end pipelines for time-series isotope data and nanoparticle detection using autoencoders and LSTMs. His background spans industrial automation—where he automated quotation processing and ERP validation boosting productivity by ~70%—to embedded systems and dimensionality-reduction work on real scientific datasets. Comfortable bridging research and production, he aims to drive industrial R&D through collaborative projects and regular paper publication. An understated strength is his ability to turn domain-specific signals into robust latent representations that enable practical anomaly and event detection.
5 years of coding experience
Master's, Computer Programming & Applications, 8.2/10, Master's, Computer Programming & Applications, 8.2/10 at University of Madras
Bachelor of Science, BSc. Physics, 7.8/10, Bachelor of Science, BSc. Physics, 7.8/10 at Loyola College
Master's, Data & Artificial Intelligence, Master's, Data & Artificial Intelligence at Institut Polytechnique de Paris
german (goethe a1), english (cefr level c1), Tamil, French
Contributions:2 pushes, 1 branch in 1 year 6 months
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