Shankara Narayanan Vaidyanathan

Co-founder & CRO | SLAM Roboticist | prev @ GreenSight Agronomics | Northeastern University ’24 | BITS Pilani ’21

Role: Co-founder & CRO at Stealth AI Startup
Location: Boston, MA, US
LinkedIn followers: 500 followers

Sales & Business DevelopmentView LinkedIn profile

About Shankara Narayanan Vaidyanathan

Hey! I’m Shankara, a graduate student at Northeastern University pursuing my masters…

Experience

Co-founder & CRO
Stealth AI Startup
Jan 2025 — Present · San Francisco, CA, US

Education

Acharya Vidya Kula, Mysore
95 %
2011 — 2015
Vidyavarthaka PU College , Mysore
95 %
2015 — 2017
Northeastern University
Master of Science - MS
2022 — 2024
Syddansk Universitet - University of Southern Denmark
Summer School
2024 — 2024
Birla Institute of Technology and Science, Pilani
Bachelor's degree
2017 — 2021
Udacity
Robotics Software Engineer Nanodegree
2020 — 2020

Contact information

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Work email
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Personal email
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Current company

Stealth AI Startup

Technology, Information and Internet · 11 employees · Worldwide, US

Stealth AI Startup is a private community for founders, researchers, and engineers building next-generation AI companies before public launch. Founders tag themselves here to: 🔹 Gain credibility while working in stealth 🔹 Connect discreetly with other AI founders 🔹 Receive inbound interest from early-stage VCs 🔹 Join curated founder-only circles & discussions 🔹 Access hiring pipelines for early team building If you're building an AI startup in stealth, add your profile to the community and tag yourself to this page. Your stealth journey deserves visibility — without revealing your idea. Join the world’s largest AI stealth founder network.

mithyalabs.com

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About Shankara Narayanan Vaidyanathan

Experience

Co-founder & CRO

Education

Acharya Vidya Kula, Mysore

Vidyavarthaka PU College , Mysore

Northeastern University

Syddansk Universitet - University of Southern Denmark

Birla Institute of Technology and Science, Pilani

Udacity

Find verified contacts for anyone on LinkedIn