
Priya Venkatesh
Full-stack engineer with a background in computer vision and AI. Previously built image processing tools at a startup. Obsessed with making complex tech feel simple. The brain behind the cover generation engine.
Education
M.S. Computer Science, Stanford University | B.Tech Computer Engineering, IIT Bombay
About Priya
Priya is the technical architect behind KDPEasy's AI-powered cover generation engine. With over 8 years of experience in software development, she specializes in computer vision, machine learning, and building scalable web applications.
Before joining KDPEasy, Priya worked as a Senior Engineer at an image processing startup in San Francisco, where she led the development of real-time image enhancement algorithms used by e-commerce platforms. Her work has been deployed at scale, processing millions of images daily.
Priya holds a Master's degree in Computer Science from Stanford University, where she focused on computer vision and deep learning. Her thesis explored generative models for image synthesis—research that directly informed KDPEasy's cover generation approach.
She joined Marcus as a co-founder after meeting him at a tech meetup where she happened to mention her own frustration with book cover tools (she writes science fiction short stories in her spare time). When Marcus showed her his prototype, she immediately saw the potential and offered to rebuild it properly.
Priya is passionate about making powerful technology accessible to non-technical users. She believes the best software is invisible—it just works. Outside of coding, she enjoys hiking in the Bay Area, amateur astronomy, and her extensive collection of houseplants.
Achievements
- •Built image processing systems handling 10M+ images/day
- •Stanford CS graduate with focus on computer vision
- •Author of 3 published research papers on generative AI
Areas of Expertise
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