I am a Machine Learning Solutions Architect at Nvidia where I work on AI infrastructure for NVIDIA's cloud customers. Before joining Nvidia, I was a founding machine learning engineer at Lamini AI where I created a software platform for enterprise customers to build and serve their production-ready custom and private LLMs. Previously I completed my Masters from Stanford in the Symbolic Systems program, where I worked with Prof. Fei-Fei Li on decoding EEG-brain signals for robotic manipulation. I also worked with Prof. Justin Gardner to design deep learning algorithms for modeling areas of the Visual Temporal Cortex on fMRI NSD Dataset. I interned at Google Translate working on scaling laws for neural-based evaluation metrics for machine translation models. I am passionate about research in theoretical and applied deep learning and NLP. I was an NSF-funded RIPS Scholar at the Institute of Pure and Applied Mathematics at UCLA where I worked with Google, LA on devising privacy protection frameworks. I am passionate about communities and aim to create equal opportunities in STEM by promoting diversity and inclusion. I am a Lead at Women Who Code Delhi and founded the community MLNerdie x Delhi to bridge the gap between academia and industry in machine learning. For my initiatives, I was awarded the Google Women Techmakers Scholarship in 2019.