Abhishaike Mahajan
About Abhishaike Mahajan
Abhishaike Mahajan is a Senior Machine Learning Engineer at Dyno Therapeutics, with a background in cognitive science and extensive experience in machine learning and data science across various industries.
Title and Current Role at Dyno Therapeutics
Abhishaike Mahajan is currently a Senior Machine Learning Engineer: ML Research at Dyno Therapeutics. He started this role in September 2023. In this position, he focuses on advanced machine learning techniques and research to contribute to the company's innovative solutions in biotechnology.
Previous Positions and Work History
Abhishaike Mahajan holds extensive experience in the field of machine learning and data science across various companies. He worked as a Machine Learning Engineer: ML Research at Dyno Therapeutics from 2022 to 2023 in Boston, Massachusetts. Prior to that, he was a Senior Machine Learning Scientist and a Machine Learning Scientist at Anthem, Inc., now known as Elevance Health, in Palo Alto, California. He also served as a Data Scientist at Beyond Limits and held multiple internships at companies like toSense, Maxim Integrated, and Speetra.
Education and Academic Background
Abhishaike Mahajan graduated from The University of Texas at Dallas with a Bachelor's degree in Cognitive Science, completing his studies from 2015 to 2019. During his academic tenure, he also worked as a Research Assistant at the university, focusing on academic research projects. He completed his high school education at Westwood High School from 2011 to 2015.
Professional Website and Projects
Abhishaike Mahajan maintains a personal website, abhishaike.com, where he showcases his professional achievements and projects. This website serves as a comprehensive portfolio of his work in machine learning, data science, and other related fields, providing detailed insights into his contributions and career milestones.
Research and Technical Expertise
Throughout his career, Abhishaike Mahajan has demonstrated expertise in medical imaging AI, physiological signal analysis, and clinical informatics. His diverse experience includes conducting healthcare research in both industry and academic labs, contributing to advancements in these specialized areas of machine learning and data science.