Welcome!

I am a Senior Data Scientist with the Global AI Accelerator at Ericsson R&D. I currently work on telecom use-cases of Large Language Models (LLMs).

I am also a Senior Member of the IEEE and current Chair of the IEEE Sensors Council, Bangalore Chapter.

My research interests are machine learning, telecom AI, health informatics and brain computer interfaces.

Education

I hold a Ph.D. in Machine Learning from the Indian Institute of Technology, Delhi. My thesis “Empirical Methods for Minimizing Structural Risk” investigated model complexity in machine learning models.

Work Experience

Prior to Ericsson, I worked with the Center for Development of Advanced Computing (CDAC), a prestigious R&D lab of the Govt. of India, with their Health Informatics Group during 2011-2021.

During 2010-2011, I was with the Mobility Group at Tata Consultancy Services (TCS).

Updates

1. [August 2024] Paper titled “Icing on the Cake: Automatic Code Summarization at Ericsson” accepted for publication at the 40th International Conference on Software Maintenance and Evolution (ICSME) 2024 Industry Track.

2. [July 2024] Ericsson Blog published - “Objective-focused dual connectivity networks: Data-driven prioritization of 5G NSA frequency bands”.

3. [July 2024] Paper titled “Evaluation of RAG Metrics for Question Answering in the Telecom Domain” accepted for ICML 2024 Workshop on Foundation Models in the Wild. (Code)

4. [May 2024] Paper on “Observations on Building RAG Systems for Technical Documents” accepted for Tiny Papers Track @ ICLR 2024.