Poorva Rane is a Staff Research Engineer with 11 years of experience building production-grade multimodal and generative models across Apple and Google DeepMind. She led computer vision and multimodal understanding for Visual Look Up at Apple and has driven image and video generation efforts (Imagen, Veo) at DeepMind, integrating native audio and dialog. A Carnegie Mellon MIIS alumna, her background blends conversational AI, retrieval/ranking systems, and generative media—work that began in research roles and internships at NVIDIA, CMU, and industry teams. She pairs academic rigor with product-minded engineering, optimizing architectures and performance to ship consumer-facing features at scale. Based in San Jose, she’s comfortable moving between research prototypes and large-scale deployment, and she often experiments with novel model architectures to squeeze extra accuracy and efficiency out of systems.
11 years of coding experience
9 years of employment as a software developer
Master of Science in Intelligent Information Systems (MIIS) Language Technologies Institute School of Computer Science, Master of Science in Intelligent Information Systems (MIIS) Language Technologies Institute School of Computer Science at Carnegie Mellon University
Bachelor of Technology (BTech) Information Technology, Bachelor of Technology (BTech) Information Technology at National Institute of Technology Karnataka
Contributions:34 commits, 1 PR, 28 pushes in 19 days
answerquestionforumanswer-forumquora
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Poorva Rane - Staff Research Engineer at Google DeepMind