I am currently a Research Scientist at 3M Health (Solventum) in the Speech Research and Development group. Our overall aim is to develop AI-driven healthcare solutions that leverage speech and natural language processing (NLP) technologies to automate clinical visit workflows for physicians, allowing them to focus more on patient care.

Research:

• Machine Learning (2019 - present)
  • Core ML: Confidence calibration of neural networks [NeurIPS 2022]
  • Speech: Self-supervised learning, Transducer (RNN-T) ASR, Joint ASR and Speaker-Role Diarization [Interspeech 2025], wake-word detection [Interspeech 2022]
  • NLP: Summarization of doctor-patient conversations [EMNLP 2021]
• Wireless Communication (2012 - 2018)
  • Interference modeling in wireless networks [IEEE Comm. Letters 2017, 2018]
  • Error correction and ARQ schemes for underwater wireless sensor networks [Sensors 2013]
  • Signal modulation for free-space optical communication [IEEE SPCOM 2014]

Education:

• 2019–2019: Master’s in Electrical and Computer Engineering, Carnegie Mellon University, USA
• 2009–2013: Bachelor’s in Electronics and Communication Engineering, NIT Durgapur, India