Digvijay Singh

Digvijay Singh has held various positions in the field of Machine Learning and Data Science since 2014. From 2014 to 2015, they worked as a Software Engineering Intern at INDE SYSTEMS INDIA PRIVATE LIMITED, where they developed a real-time LED blink detection with Arduino Uno, using NeuroSky Mindwave brainwave technology. In 2015, they worked as a Software Engineering Intern at Defence Research and Development Organisation (DRDO), where they worked on war game simulation software. From 2017 to 2018, they held the position of Research Assistant at Johns Hopkins University & Medicine, where they modified PATH algorithm to adopt seeding (seeded PATH or sPATH). From 2018 to 2019, they worked as a Data Scientist at Johns Hopkins Medicine, where they developed a framework to identify physiologically meaningful ICU patient data, and predict clinical outcomes. During this time, they also held the position of Machine Learning Research Assistant at Johns Hopkins University & Medicine, where they worked on segmenting phases of cataract surgery videos. From 2019 to 2022, they held the position of Machine Learning Engineer at FINRA, where they worked on Natural Language problems, in both deliverable and R&D projects. Digvijay also gained experience with AWS environment and tools (S3, EC2, KMS, SQS, SageMaker etc.). Currently, they are working as a Machine Learning Engineer at Got It AI.

Digvijay Singh completed their Bachelor's Degree in Mathematics & Computing from Delhi College of Engineering in 2016. Prior to that, they attended Modern School, Barakhamba Road from 1998 to 2011. Digvijay then pursued a Master's degree in Computer Science from Johns Hopkins Whiting School of Engineering and a Master's Degree in Computer and Information Systems Security/Information Assurance from The Johns Hopkins University, both of which they completed in 2018.