Gunjan Paul is a Full-Stack AI Developer with a strong blend of research and production experience across computer vision, MLOps, and backend engineering. Over seven years of industry and research roles, he has built cloud-native microservices, CI/CD pipelines, and scalable data pipelines while also developing state-of-the-art 3D vision and multimodal NeRF research at the Computer Vision Center and EPFL collaborations. He has shipped front-end improvements to notable open-source projects like Layer5/Meshery—translating performance test results into usable UI—and led teams to productionize active learning and data-labeling marketplaces. Comfortable across Python, JavaScript, Docker, Kubernetes, AWS/GCP and observability stacks, he pairs hands-on engineering with model-centric MLOps to close the gap between prototype and production. Based in Barcelona, he combines academic rigor from a Computer Vision master’s with startup speed and a track record of mentoring and community-driven contributions. Notably, his work spans both low-level 3D reconstruction techniques (Gaussian Splatting, robust pointcloud registration) and the pragmatic engineering needed to serve them at scale.
7 years of coding experience
3 years of employment as a software developer
mathabhanga high school
Master's degree Computer Vision, Master's degree Computer Vision at Universitat Autònoma de Barcelona
Bachelor of Technology - BTech computer science and engineering, Bachelor of Technology - BTech computer science and engineering at University of Engineering & Management - Jaipur
Contributions:23 commits, 24 PRs, 33 comments in 7 months
Contributions summary:Gunjan primarily contributed to the website's front-end development. They updated the website's landing page content, including the tagline and the community section. Furthermore, the user fixed the twitter label with GitHub. The user also made changes to the getting started section, updated the clippy button, and added lightboxes to the images.
Contributions:9 commits, 34 PRs, 8 pushes in 4 months
Contributions summary:Gunjan primarily contributed to the front-end presentation of performance test results and the user interface of the Meshery application. They updated the `meshery.html` file, adding and modifying elements to display performance test results. Further work involved the integration of JavaScript and jQuery to fetch and display these results dynamically, in addition to changes involving the integration of new icon, installation commands with the appropriate copy-to-clipboard buttons.
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Gunjan Paul - Full-Stack AI Developer at ValleyDAO