Mihir Kale

Mihir Kale is a skilled professional with a solid background in software development and machine learning. Mihir began the career as a Software Development Engineer intern at Amazon, where a website was designed and implemented to track service metrics. At Flipkart, significant contributions included co-authoring a publication on a lifestyle recommender system and developing a two-stage random forest model that achieved 85% accuracy in predicting customer churn. Following this, Mihir worked at Apple as a Machine Learning Researcher, focusing on advanced natural language understanding models for Siri, and furthered these efforts at Google with large language models research. Currently, Mihir is a Research Engineer at Meta, specializing in Llama Pre-training. Educational qualifications include a Bachelor of Engineering and MSc in Mathematics and Computer Science from Birla Institute of Technology and Science, Pilani, and a Master's degree in Computer Science with a focus on Machine Learning and NLP from Carnegie Mellon University.