Feb 2024 – Present · 2 yrs 3 mos

• Collaborated with the Data Platform team to enhance Adobe Firefly's data pipelines, enabling scalable inference workloads for multi-diffusion models on auto-scalable EKS clusters. Currently contributing to the services component of Adobe Firefly.

Jul 2022 – Jan 2024 · 1 yr 6 mos

• Contributed to major feature releases for Creative Cloud Libraries, a cross-platform asset management and collaboration tool built with modern JavaScript and C++/JS bridges. Enhanced its microservice architecture for efficient background sync and caching of large assets. Developed features to support collaboration and asset reuse, and addressed and documented numerous bugs across the entire stack within Adobe's ecosystem.

Jan 2022 – Jul 2022 · 6 mos

• I worked in team Adobe Illustrator, I spearheaded the foundational development of StrokeNet—a feature enabling effective vectorization through the piecewise deconstruction of object stroke profiles. I crafted the StrokeNet model, empowering it to extract strokes from images while also furnishing detailed information on stroke attributes like width, type, color, and more.

May 2021 – Jul 2021 · 2 mos · Noida, Uttar Pradesh, India

• I interned with the Photoshop Elements team, I specialized in Canvas APIs. My primary project involved creating a sophisticated wrapper for the HTML5 canvas, enhancing its functionality beyond conventional features. This extended capability allowed for dynamic manipulation of images and videos on the canvas, including tasks such as movement, resizing, rotation, scaling, and the innovative feature of generating collages.