About

Adit Sanghvi is a highly skilled Machine Learning Engineer with over 5 years of relevant experience. Currently working as a Machine Learning Engineer II at Amazon, he is dedicated to solving problems that matter and improving the quality of diagnostic abilities at UPMC using deep learning techniques. Adit is passionate about edging ever closer to Health 2.0, utilizing his expertise in ML and NLP to drive innovation and progress in the healthcare industry. Adit's previous experience as a Lead Machine Learning Engineer at UPMC Enterprises and as a Machine Learning and NLP Research Assistant at Carnegie Mellon University has equipped him with a diverse skill set. He has worked on fast-paced machine learning development projects, providing guidance on reporting, analyses, and methodology. Adit has also built long-term machine learning platforms and data systems, demonstrating his ability to think strategically and plan for the future. In his role as a Research Assistant, Adit worked on several exciting projects, including extracting salient sentences from 140 million product reviews on Amazon using attention-based modeling, building recommender systems to recommend top items to users, and predicting authorship of Federalist papers via TFIDF and cosine similarity. Adit is proficient in Python and has experience with n-grams, making him a valuable asset in any ML or NLP project. Adit holds a Master's degree in Management Information Systems from Carnegie Mellon University and a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Vishwakarma Institute of Technology. He is a highly motivated and results-driven individual, always striving to improve his skills and stay up-to-date with the latest advancements in ML and NLP. Adit's tech stack includes ML, Deep Learning, NLP, Research Scientist, n-grams, and Python. Overall, Adit Sanghvi is an accomplished Machine Learning Engineer with a proven track record of success. He is passionate about using his skills to make a difference in the world and is always looking for new challenges to tackle.