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Ridam BatraRB
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Ridam Batra

@ridambatra

Senior Computer Scientist at Adobe Photoshop; architected Dynamic Layers’ AI-generated editing workflow, shipped in Photoshop Beta.

India
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At Adobe Photoshop, I architected the end-to-end Dynamic Layers pipeline, shipped in Photoshop Beta in July 2026. It combines an LLM and a video-generation model to create continuous visual states from images and a user prompt; I own prompt engineering and evaluation.

I also designed and developed features for Adobe Model Manifest, a model-agnostic SDK for discovering, distributing, and executing AI models across Adobe applications. I built its high-performance Rust SDK with a C API for C/C++ clients, and the work resulted in an internally approved patent.

For Photoshop, I co-architected and co-developed Selection Brush, shipped in 2024, and drove it through implementation, integration, and release. I also built an AI-powered recommendation system that maps suggestions for fonts, colors, composition, and lighting to executable Photoshop actions.

Earlier, I developed lightweight deep-learning computer vision models for mobile at 1APUS APPS and designed image-understanding systems at SIFTRLABS. My work has also included Stage3D and GPU-accelerated graphics at ADOBE SYSTEMS, along with C++, Python, Rust, and computer vision.

Experience

Work history, roles, and key accomplishments

AA

Senior Software Engineer

APUS Apps

Jan 2017 - Aug 2018 (1 year 7 months)

Designed and implemented lightweight deep-learning computer vision models for mobile, including person and face segmentation using ENet in TensorFlow. Developed an artistic image filter and an Image Profiler SDK for on-device analysis.

Qualcomm logoQU

Software Engineering Intern

May 2013 - Jun 2013 (1 month)

Designed and developed an automated IMS log analyzer for validating SIP and lower-layer call flows for Voice, SMS, and Video over 3G/4G networks.

Education

Degrees, certifications, and relevant coursework

ND

Netaji Subhas Institute of Technology (NSIT), Delhi

B.Tech., Computer Engineering

2010 - 2014

Grade: 77.6%

Pursued a Bachelor of Technology in Computer Engineering, achieving 77.6%.

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