About

Apoorva Gokhale is a highly motivated and skilled Machine Learning Engineer currently working with Qualcomm, where she is involved in Deep Learning Compiler R&D. With a Bachelor's degree in Information Technology from Veermata Jijabai Technological Institute (VJTI) and a Master's degree in Machine Learning and Data Science, Electrical and Computer Engineering from the University of California, San Diego - Jacobs School of Engineering, Apoorva has a strong academic background in computer science and machine learning. Apoorva is passionate about learning new concepts and implementing them to solve real-world problems. She has a keen interest in making deep learning compute- and data-efficient, and is always looking for ways to optimize her code. She describes herself as someone who loves writing code that is well-intended as well as well-indented. Apoorva has gained valuable experience in the field of machine learning during her time at Qualcomm, where she has been working for the past 1.70 years. Prior to this, she worked as an Interim Engineering Intern at Qualcomm. She has also worked as a Graduate Teaching Assistant at the University of California, San Diego - Jacobs School of Engineering, where she mentored first-time TAs taking the CSE 599 course, and managed the logistics and grading. Apoorva's technical skills include ML and Deep Learning, and she is constantly expanding her knowledge in these areas. She is a proactive and collaborative team player, and is always willing to share her expertise and learn from others. Her excellent communication skills and attention to detail make her a valuable asset to any team. Overall, Apoorva Gokhale is a talented and dedicated Machine Learning Engineer with a strong academic background and valuable industry experience. She is passionate about learning and implementing new concepts, and is committed to solving real-world problems through her work.