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A profile about the people, projects and experiences behind their work. Discover their career, contributions and connections.

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2022

Founder

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2022

Founder

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A profile about the people, projects and experiences behind their work. Discover their career, contributions and connections.

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Company name

2022

Founder

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2022

Founder

Rohan Choudhury

Rohan Choudhury leads model-training work at Cognition, contributing to software-engineering models including SWE-1.6 and research on FrontierCode. He earned a PhD at Carnegie Mellon University, where his research focused on making visual models more efficient, including methods for speeding up vision transformers and video models.

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Based in: San Francisco
Elsewhere

Cognition

2025 — Present

Member of Technical Staff, model training

Researcher working on model training, including Cognition's SWE-1.6, SWE-1.7, and FrontierCode work.

Carnegie Mellon University

PhD

California Institute of Technology

Products & media

cognition.com

Introducing SWE 1.6: Improving Model UX

Cognition’s release article explains SWE-1.6’s training goals and changes aimed at improving the software-engineering model’s user experience.

Writing

rccchoudhury.github.io

Accelerating Vision Transformers with Adaptive Patch Sizes

The project page presents Adaptive Patch Transformers, a method for reducing visual-model computation with variable image patch sizes.

cognition.com

An Early Preview of SWE-1.6 and Research Update

The Cognition research update discusses the SWE-1.6 training run and model behaviors the team was working to improve.

Writing

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Company name

Rohan Choudhury

Cognition

Carnegie Mellon University

California Institute of Technology

Products & media

Introducing SWE 1.6: Improving Model UX

Accelerating Vision Transformers with Adaptive Patch Sizes

An Early Preview of SWE-1.6 and Research Update

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Company name

Company name

Rohan Choudhury

Cognition

Carnegie Mellon University

California Institute of Technology

Products & media

Introducing SWE 1.6: Improving Model UX

Accelerating Vision Transformers with Adaptive Patch Sizes

An Early Preview of SWE-1.6 and Research Update

Curated Lists

List Inclusions