Syed Fahad Rizvi is a Machine Learning Engineer III at Derq since March 2022, specializing in Computer Vision, Deep Learning, and Bayesian Statistics to detect traffic violations and dangerous events. Previously, Syed served as a Machine Learning Engineer II at softgarden e-recruiting, where contributions included enhancing Metabase dashboards with SQL queries and developing a Docker app for improved performance. Prior experience includes a Data Scientist I role at Teradata, where Syed participated in FinTech and Healthcare projects, and a Graduate Associate position in Data Science. Syed also worked briefly as a Software Engineer in Machine Learning at Arbisoft, developing a neural word tokenizer, and interned at Incline Artificial Intelligence, focusing on aerial surveillance solutions. Educationally, Syed is pursuing a Master of Science in Computer Science at Georgia Institute of Technology, having obtained a Master of Science in Language Science and Technology from Universität des Saarlandes and a Bachelor of Science in Computer Science from National University of Computer and Emerging Sciences.
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