Divyaraj Solanki

Applied Scientist at Reality Defender

Divyaraj Solanki has a diverse work experience. In 2017, they worked as a Machine Learning Engineer Intern at Softvan, where they were responsible for Object Detection and Software Engineering. From 2019-2021, they worked as a Graduate Teaching Assistant at Northeastern University College of Computer and Information Science, where they were responsible for teaching students, holding office hours, grading assignments, and generating algorithmic problems for assignments and exams. In 2020, they worked as a Machine Learning Research Assistant at Khoury College of Computer Sciences and as a Machine Learning Research Intern at Brigham and Women's Hospital, where they were responsible for ECG Classification and Multi-Institute Learning. Currently, they are a Research Engineer at Reality Defender (YC W22).

Divyaraj Solanki obtained a Bachelor of Engineering (BE) in Computer Engineering from L.D. College of Engineering in 2014-2018. Divyaraj then went on to pursue a Master of Science (MS) in Computer Science from Northeastern University College of Computer and Information Science from 2019-2021. In 2018, they obtained a Machine Learning certification from Coursera.

Location

Boston, United States

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Reality Defender

Reality Defender is a deepfake detection platform used by enterprises to flag fake users and fraudulent content (audio, video and images). Our API and web app provide real-time risk scoring, PDF report cards, email alerts and forensics review.


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11-50

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