Purvak Lapsiya is a manager and applied research leader at Adobe driving data-centric approaches for Firefly’s imaging and multimodal models, with nine years of experience in ML and production infrastructure. He builds scalable data recipes, captioning pipelines, and evaluation systems that improve training data quality for large generative models. Prior roles at Adobe span research-to-production work on diffusion models, multimodal pre-training, and post-training optimization, complemented by early-career ML engineering and research at USC, SAP, ISRO, and startups. He holds an MS in Computer Science from USC and blends deep academic work—3D U-Net segmentation, dense CRF integration, and distributed training—with hands-on deployment of ML services. Known for bridging research and engineering, he repeatedly moves prototype models into robust, scalable pipelines for product-grade GenAI. Based in Sunnyvale, he pairs rigorous model improvement with practical data engineering to accelerate Adobe’s creative AI.
9 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Southern California
Bachelor of Technology (B. Tech) Computer Engineering, Bachelor of Technology (B. Tech) Computer Engineering at University of Mumbai
Contributions:4 commits, 3 pushes, 1 branch in 1 year 3 months
deep-learningpytorchbase-codemachine-learning
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