About

Harsh Parikh is a highly skilled Senior ML Engineer and Data Scientist with a passion for cutting-edge technology and solving real-world problems. With over 3.5 years of relevant experience, he has a proven track record of creating machine learning models, retraining systems, and transforming data science prototypes into production-grade solutions. Currently working as an ML Engineer and Applied Scientist at ResMed, Harsh collaborates with researchers and multi-disciplinary product development teams to develop experiments and concepts that enhance the efficacy of an existing system. He has engineered state-of-the-art facial scanning algorithms for CPAP mask sizing and recommendation, which has led to improving customer experience, compliance rate, and business efficiencies by reducing costs. Prior to his current role, Harsh worked as a Machine Learning Engineer at Proofpoint, where he researched, designed, and implemented machine learning applications for the next-generation Impostor (BEC) email classifier. He increased the number of true positives by more than 37% while reducing false positives by more than 25%. Harsh deployed validated models to the evaluation system and developed techniques for training models and visualizing the performance of multiple ML models. He was recognized company-wide with Above and Beyond and Outstanding Technical Contribution awards by the CEO. Harsh holds a Master of Science (M.S.) degree from Illinois Tech and has completed several Nanodegrees, including Self Driving Car Engineer and Deep Learning Engineer from Udacity. He is proficient in ML, Research Scientist, and Data Scientist, and has a deep understanding of the latest technologies and trends in the field. In summary, Harsh is a highly motivated and skilled Senior ML Engineer and Data Scientist with a passion for solving real-world problems using cutting-edge technology. He has a proven track record of creating effective machine learning models and retraining systems, and he is committed to staying up-to-date with the latest developments in the field.