Swagnik Roychoudhury

About Swagnik Roychoudhury

I am a robotics engineer working at a SF-based stealth startup. I graduated from NYU magna cum laude and studied Computer Science and Data Science. My research interests span computational linguistics, domestic robotics, and applied computer vision. At NYU, I was primarily affiliated with the EnSuRe Group under Professor Siddharth Garg, although I have conducted (and in some cases, continuing to conduct) research under professors at other universities, such as MSU, UCI, and NJIT. I have won numerous grants for my research, and have presented my work from New York to California. I was a Data Science fellow at the NYU Marron Institute, and I was nominated by NYU for the 2024 Barry Goldwater Scholarship. I have published to student conferences like MIT URTC and NYU URC, as well as professional conferences like ICDE, VLDB, and Big Data. I find LinkedIn quite subpar when it comes to easily accessing publications, so I have compiled a more convenient list that you can find here: swagnik.org/research/I am experienced with designing, training, and evaluating common ML pipelines, from deep convolutional resnets and transformer-based masked-autoencoders, to standard MLP networks and of course, good ol\' linear regression -)

Experience

1. Founding Engineer

   Stealth Robotics Startup

   Dec 2024 — Present · San Francisco, CA, US

   building something cool

Education

• Stanford University

  Stanford Pre-Collegiate Studies, Number Theory, Real Number Analysis

• New York University

  Bachelor's degree, Computer Science and Data Science Double Major

• Sarbabharatiya Sangeet O Sanskriti Parishad

  Bachelor of Arts - BA, Indian Classical Music

• Carnegie Mellon University School of Computer Science

  Master of Science - MS, Robotics

  2026 — 2028

• Middlesex College

  Mathematics, Calculus III, Differential Equations

  2020 — 2021

• Middlesex County Vocational Academy Math Science &Engineering Techn

  Mathematics and Computer Science

  2018 — 2022