AppZen
Kush Teppalwar is a skilled data scientist with extensive experience in machine learning and natural language processing. Currently serving as a Sr. Data Scientist 1 at AppZen since November 2020, Kush has achieved significant milestones, including 95% accuracy in extracting critical information from multilingual invoices using graph attention networks and 90% accuracy for tax summary table extraction through relational graph convolutional networks. Previous roles include Associate Software Developer in AI/ML at Icertis, where Kush implemented a custom NER model and utilized Bidirectional LSTM-CNNs, as well as a project intern at BMC Software. Kush also led the inaugural game development branch at the IEEE PICT Student Chapter during college years and has a Bachelor of Technology in Computer Science from Pune Institute of Computer Technology.
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AppZen
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AppZen is the Finance AI leader, automating spend approvals, simplifying policy compliance, and streamlining processes.