About

Aditya Guglani is a highly skilled Machine Learning Engineer with over 6 years of experience in the field. Currently working at Facebook, Aditya has a strong background in building end-to-end ranking and recommendation systems. He is passionate about leveraging technology and data to improve the user experience and drive business outcomes. Aditya's expertise in ML, Big Data, and recommendation systems has been honed through his work at leading tech companies such as Facebook and Uber. At Facebook, Aditya was responsible for improving the ranking and recommendation of creator videos, making Facebook the platform of choice for creators to make a living. At Uber, Aditya worked as a Data Scientist and Tech Lead, leading the creation of multi-lingual ML/NLP recommendation for automated resolution of customer support tickets. His work resulted in a 9% reduction in time agents spend on tickets, improved routing accuracy by 7%, and a $25mn+ realized bottom-line impact. Aditya's educational background includes a Master's degree in Machine Learning from Carnegie Mellon University and a Bachelor's degree in Mechanical Engineering (minor in Computer Science and Engineering) from the Indian Institute of Technology, Guwahati. He is also an Advisory Council Member for the Big Data program at California State University - East Bay, where he focuses on video ranking and recommendation for creator content. Aditya's tech stack includes ML, Big Data, recommendation systems, senior software engineering, data science, research science, and NLP. He is a results-driven individual with a proven track record of delivering impactful projects. Aditya is a valuable asset to any team looking to leverage the power of machine learning and data to drive business outcomes.