Akilesh Badrinaaraayanan is a Privacy Engineer at Google Cloud with a decade of experience at the intersection of machine learning and privacy-preserving systems. He combines research rigor from an MSc at Mila and a graduate researcher stint at CMU Tepper with applied engineering roles at Adobe and internships in deep learning and software development. His work spans federated and private ML methods, research collaboration with industry partners like PNC, and practical deployment considerations for large-scale cloud services. Based in Pittsburgh, he brings academic depth and production experience to privacy engineering challenges, often translating cutting-edge research into auditable, scalable solutions. An organized contributor to both research and engineering teams, he blends technical curiosity with a track record of interdisciplinary collaboration.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Bachelor of Technology - BTech at Indian Institute of Technology, Hyderabad
Master of Science - MS, Master of Science - MS at Carnegie Mellon University - Tepper School of Business
SBOA School and Junior College
Maharishi Vidya Mandir Senior Secondary School
Master of Science - MSc by research, Master of Science - MSc by research at Université de Montréal
Contributions:17 pushes, 1 branch in 1 year 5 months
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Akilesh Badrinaaraayanan - Privacy Engineer at Google