About

Anish Doshi is a highly skilled ML Engineer with a strong background in data science and product development. Currently pursuing his Master of Engineering degree in Computer Science at the University of California, Berkeley, Anish is working as a Graduate Student and is involved in powering Trifacta's Predictive Transformation capabilities with state-of-the-art machine learning research. Anish has gained significant experience in his field, with 4.69 years of relevant experience. He has previously worked as a Machine Learning Engineer at Apple, where he used on-device intelligence to improve the search feature for Apple Card transactions, which shipped in April 2021 to millions of users. Anish's contributions to the project included designing custom NLP models in Tensorflow to add tags to transactions, developing a pipeline to train models on distributed datasets, quantize and compile them to CoreML, and automatically update them on-device with Swift. He also reduced the memory footprint for Wallet's intelligence framework by 50% over several releases through SQLite call optimization. Before joining the University of California, Berkeley, Anish worked as a Senior Machine Learning Engineer at Trifacta, where he was also involved in powering the company's Predictive Transformation capabilities with state-of-the-art machine learning research. Anish's education history includes a Bachelor of Science degree in Computer Science and Engineering from the University of California, Berkeley, and a Master of Engineering degree in Computer Science from the same institution, which he is expected to complete in May 2022. Anish's tech stack includes ML, Research Scientist, Data Scientist, NLP, Swift, Tensorflow, and Search. With his extensive experience and strong technical skills, Anish is a valuable asset to any team looking to leverage the power of machine learning and data science to drive their business forward.