About

Apurva Gupta is an accomplished Software Engineer with over 8 years of experience in the industry. Currently working at Google, he has a proven track record of delivering innovative solutions for complex technical problems. Apurva's expertise lies in building and designing Knowledge Graphs and Natural Language Understanding (NLU) engines. He has developed Aspell and KenLM based spell correctors, and has also worked on dynamic Bayesian networks for context-aware recommendation services. His work on LSTM and CNN based sentence classifiers for a chatbot has been highly appreciated. At Samsung, where he previously worked, Apurva designed and constructed a Knowledge Graph from content metadata to facilitate content discovery and recommendation. He also led a team of three people for a mini research project on KB Q&A. He has worked on user preference modeling using smart home device usage logs and word2vec based sentiment analyzers. Apurva holds a Bachelor of Technology in Electrical and Electronics Engineering from the Indian Institute of Technology, Guwahati. He also completed his 10th grade from Sarala Birla Academy. Apurva's technical skills include Software Engineering, Mobile, BERT, NLU, Research Scientist, NodeJS, Javascript, MongoDB, and Backend. His ability to deliver innovative solutions to complex problems makes him a valuable asset to any organization.