Developed and optimized ML pipelines for Adobe Firefly GenAI. Implemented production-grade APIs and significantly improved inference time for diffusion models like Flux Schnell, CLIP, and T5.

March 2023 - Jan 2024: Got most exciting opportunity in Java backend with Firefly project, business level microservice which served as gateway for all GenAi request coming to any of the Adobe products. Overall per day traffic served is 7 Millions. I was mainly involved in reducing latency caused due to multiple dependent service by introducing caching layer.Aug 2022 - Feb 2023: Got opportunity to contribute in rewrite of a new Libraries JS API in Node.js and Typescript to interface with both desktop and web clients, connecting dozens of Adobe Cloud services and APIs.Sept 2021 - July 2022: Started as frontend developer with Creative Cloud Libraries team in frontend features to help users create, view, organise, and share their design assets such as colors, fonts, audio files, 3D objects, and gradients.

Under Practice team, I reviewed and added efficient code to more than 200 articles based on Data Structures, Algorithm, and C/C++.

I created a python script to read remotely sensed satellite image and converted to a standard image format using GDAL and OpenCV libraries.

Understanding Machine Learning technology to solve "Real life crisis".

SIH 2K19 finalist.