Hi, I’m Namrata Mukhija
I’m currently an Applied Scientist at Amazon in the Sponsored Products team where I work with LLM Agents for designing thematic recommendations shown on Amazon.com’s Search page. I was previously an Applied Scientist at JPMorgan Chase and Co. working in the Machine Learning Center of Excellence on developing RAG agents. Outside of my full-time job, I’m an active contributor at EAAMO Bridges Living Labs with Practioners group aimed at co-experimentation and implementing participatory methodology with social impact practitioners and nonprofits. I graduated with a M.S. in Computer Science from New York University, Courant School of Mathematical Sciences.
Previously, I’ve researched on assessing stereotype detection capability in large language models during a fellowship at Arthur AI under Dr. John Dickerson. I’ve also researched into paraphrasing as a data augmentation tool in improving Named Entity Recognition task performance in low versus high resource scenarios (ACL’23 and NeurIPS’22) during my internship at J.P. Morgan, Machine Learning Center of Excellence. During my internship at Microsoft Research, India under Dr. Kalika Bali and Dr. Monojit Choudhury, I worked on developing a framework for prioritizing research for low-resource language communities, understanding different dilemmas (ACM COMPASS’25 faced by technologists, their origin and complexity, and involving low-resource language communities in the development of language technologies.
Before my Masters, I was a Software Engineer 2 at Microsoft. I was involved in developing various products such as PowerPoint, Fluid Framework, and Unified Service Desk.
I received my B.E. in Information Technology from Netaji Subhas University of Technology.
I was awarded the Microsoft Experiences+Devices India Leadership Award 2020 across 2500+ employees for generating energy in the team, demonstrating ”All for One, One for All” mindset, and championing diversity and inclusion.
I actively work and volunteer for non-profits working towards closing the gender gap across industries - Women in AI where I used to lead the Women in AI India chapter and a contributor at EAAMO Bridges [Living Labs with Practioners] (https://bridges.eaamo.org/working_groups/conversations-with-practitioners/) group. If you have an idea that could help reduce the gender gap, please reach out to me!
Featured Projects
A causal analysis of whether personal beliefs towards one marginalized group perpetuate to other marginalized groups.
Developed a biLSTM-based model for grammar and essay scoring. Implemented augmented C&W word embeddings which would treat grammatical errors as informative.
An abstractive text summarizer model which has a encoder for keyword representation, an only attention-based pointer-generator network to generate summaries, and a value estimator network.