Smart Steel Technologies
Chintan Zaveri is a Deep Learning Engineer at Smart Steel Technologies since February 2023, focusing on building inference pipelines for classification and enhancing object detection models through architectural and data modifications. Prior experience includes a role as a Machine Learning Engineer for Computer Vision at Oxolo, where responsibilities involved research, prototyping, and exporting models for production. Chintan also served as a Research and Teaching Assistant at the University of Bonn, contributing to computer vision research and instructing related courses. Earlier positions include an internship at Deutsche Post, working on data analytics for deep learning, and multiple roles in software development, including Full Stack Developer at Genesis Artificial Intelligence and Lead Back End Developer at Artallus, Inc. Chintan holds a Master’s degree in Computer Science from the University of Bonn and a Bachelor of Engineering in Computer Science from The Maharaja Sayajirao University of Baroda.
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Smart Steel Technologies
SMART STEEL TECHNOLOGIES - THE LEADER FOR AI IN STEEL Smart Steel Technologies supports the steel industry in the transformation towards intelligent AI-base production. SST delivers AI software products that improve quality, optimize energy demand and ensure accurate management of CO2 efficiency.Leading steel manufacturers both in Germany andabroad successfully use SST software 24/7 in production. Applications range from the production of high-quality automotive exposed steel grades to maximizing efficiency in the construction steel sector.SST achieves a permanent performance increase of 5-10% per process stage in 24/7 use. Across stages, this results in a significantly higher potential.At the same time, SST accompanies the steel manufacturer from the integration of the software to the complete achievement of the optimization goals with a high service level. For this, SST relies on its well-coordinated team of outstanding metallurgists, process experts and AI specialists.