Vrishab Krishna

Vrishab Krishna has a diverse work experience spanning from 2017 to 2022. In 2017, they were a Research Fellow and Student Mentor at the Centre for Fundamental Research and Creative Education. In 2018, they were a Summer Intern at AgricxLab and a Founder at Kanna, where they developed a patented and clinically-validated method to detect Amblyopia (Lazy Eye Disorder). In 2019, they were a Founder and Inventor at Haem, developing a non-invasive method to detect Anemia, as well as a Research Intern and Speaker at UC Santa Barbara. In 2020, they were an Advisor at Drishti Foundation, aiming to empower the visually impaired to read in their own language. Currently, they are a Machine Learning Engineer at Valar Labs.

Vrishab Krishna's education history includes a Bachelor of Science in Computer Science from Stanford University, which they are currently pursuing from 2021 to 2025. Prior to this, they obtained their High School Diploma from National Public School in the CBSE - Science Stream (PCMC) between 2005 and 2021. Vrishab also attended Stanford Online High School for part-time university-level Mathematics from 2019 to 2021. In 2020, Vrishab completed a Summer Research in Statistical Modelling from Pioneer Academics and a Program II - Algebraic Topology from Stanford University Mathematics Camp (SUMaC). In addition, they have obtained several certifications, such as Biomedical CITI Training from CITI Program, Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Coursera, DeepLearning.AI TensorFlow Developer Specialization from Coursera, Sequences, Time Series and Prediction from Coursera, Natural Language Processing in TensorFlow from Coursera, Convolutional Neural Networks in TensorFlow from Coursera, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera, and Introduction to Mathematical Thinking from Coursera.