Adeesh Kolluru — CTO
Working on AI for Scientific Discovery. Previously, I was a PhD student at Carnegie Mellon University, where I focused on building efficient deep-learning methods and frameworks to accelerate material and molecular discovery. I have experience in Graph Neural Networks, Large-scale training, Multi-task Learning, Diffusion models, and LLMs. You can find more on my background and work here - https://adeeshkolluru.github.io/
Stackforce AI infers this person is a Materials Science and AI Research specialist with a focus on generative models.
Location: New York, New York, United States
Experience: 4 yrs 3 mos
Skills
- Computer Vision
Career Highlights
- Expert in AI for materials and molecular discovery.
- Proven track record in developing state-of-the-art predictive models.
- Strong background in deep learning and generative AI.
Work Experience
Radical AI
Head of AI (1 yr 1 mo)
Member of Technical Staff (4 mos)
Samsung Semiconductor
ML Research Intern (2 mos)
Orbital Materials
ML Research Intern (3 mos)
Meta
Research Scientist Intern (AI) (3 mos)
Columbia University in the City of New York
Research Intern (3 mos)
National University of Singapore
Research Intern (2 mos)
Indian Institute of Technology, Delhi
Mentor (10 mos)
Sports Secretary, Kumaon House (11 mos)
Representative at Debating Club (1 yr)
Columbia University in the City of New York
Research Intern (2 mos)
eDC IIT Delhi(Entrepreneurship Development Cell)
Executive (0 mo)
Education
Doctor of Philosophy - PhD at Carnegie Mellon University
Bachelor of Technology (BTech) at Indian Institute of Technology, Delhi
