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Who is Tanvi Kamble? Meet girl hired by Google for record breaking package, not from IIM, IIT, NIT, VIT, BIT, her annual salary is Rs…

Who is Tanvi Kamble? Meet girl hired by Google for record breaking package, not from IIM, IIT, NIT, VIT, BIT, her annual salary is Rs…

India.com19-07-2025
Getting placed at a big IT company is a dream for numerous aspirants. Accordingly, Tanvi Kamble achieved her dream through her skill sets, dedication, and hardwork. She got placed at Google. The interesting part is, Tanvi did not study at either IIT or IIM. Nevertheless, she broke the milestone that millions of students only wish for.
Tanvi Kamble is a skilled software engineer working at Google in Pune, Maharashtra. Speaking about her educational journey, Tanvi completed her schooling in Bhopal. She finished her schooling at Delhi Public School, Bhopal. After completing her schooling, she went to Hyderabad for higher education. Where did Tanvi Kamble study before joining Google?
She pursued her Bachelor of Technology – BTech in Computer Science and MS in Computational Linguistics, Computational Linguistics at IIIT Hyderabad. After completing her B.Tech, she reportedly did an MS in Computational Linguistics. In 2020, she worked as an Artificial Intelligence Freelancer at BeSingular Academy and, Web developer at JustKapture Innovations.
Additionally, she even interned at Google. According to the Prabhat Khabar report, Tanvi Kamble completed a Dual degree in Computational Linguistics – the science of understanding and processing human language with computers. She conducted research to understand event causality, meaning she established the cause-and-effect relationships between two events in a sentence or text.
Tanvi employed a more advanced method, which is called Graph Attention Networks (GAT). In this research focus, GAT is used to give computers better means of analyzing and interpreting events within text, thereby giving machines a more nuanced understanding of human language.
The report further mentioned that Tanvi stated that she has also constructed a new dataset, Hindi Causal TimeBank, that consists of approximately 1,000 Hindi news articles. This dataset can be used to train computers to identify cause-effect relationships in events that are expressed in Hindi. Her work is an important step in developing natural language processing, (NLP), for Indian languages in general, but more importantly, understanding complex sets of events that are expressed in Hindi documents.
Prior to joining Google, she put forward a diverse range of experiences: She worked as an Undergraduate Student Researcher at IIIT Hyderabad, worked as a Developer at Fiskkit, took on a role as a Web Developer at JustKapture Innovations,
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