About

Arnav Kundu is a highly skilled Machine Learning Engineer with a strong background in research and development. Currently working as a Research Intern at Nvidia, he is involved in the development of ambient noise reduction mechanisms for speech enhancement to improve the performance of speech recognition systems. He is also responsible for the development of speech to text alignment techniques. Arnav has previously worked at Apple as a Machine Learning Engineer, where he developed ultra-low memory footprint keyword spotting models with over 50% improvement over production models by minimizing loss-metric mismatch. He has also worked as a Machine Learning and Data Science Intern at Apple, where he researched and developed deep learning solutions for predictive anomaly detection, forecasting, clustering, and correlating millions of rows of time-series data in minutes against unsupervised methods which take hours. Arnav has a Master of Science degree in Electrical and Computer Engineering from Texas A&M University and a Bachelor of Technology degree in Electrical and Electronics Engineering from the National Institute of Technology Karnataka. He has a wealth of experience in ML, Research Scientist, Data Scientist, Deep Learning, Tensorflow, Neural Networks, Flask, and infra. With almost 5 years of relevant experience, Arnav is a highly motivated and skilled individual who is always eager to take on new challenges. He is passionate about developing innovative solutions that can help organizations to achieve their goals and is committed to staying up-to-date with the latest trends and technologies in his field.