Text embellishment plays a vital role in enhancing communication, fostering engagement, and making written content more impactful. Developing a Rocket.Chat App that enables users to emojify or embellish their text messages using LLMs (large language models) and prompt engineering.

Analysis of models like U-Nets, ResNets, RNNS, and transformers applied in speech enhancement and speech separation.Evaluating different types of noise, at various SNRs added to clean speech to understand the limitations of our in-house ASR model and improve its accuracy using enhancement models under noisy conditions

Contributed to the Beckn protocol under the Code for GovTech (C4GT) mentorship program, focusing on developing a generic full-stack NodeJS (Express) + React Native SDK framework. This framework allows developers to quickly build beckn-enabled consumer-facing application platforms (BAPs) using a boilerplate codebase.