Experience

  1. Machine Learning Researcher Intern

    BrainChip, Inc.

    Responsibilities include:

    • Developed TENNs, a state-space model optimized for the Akida SNN chip, enabling efficient multimodal processing.
    • Designed aTENNuate, a real-time speech enhancement model (Interspeech 2025) and explored LoRA-based adaptation.
    • Optimized LLM training and implemented a Triton-based GPU kernel for FFT convolution in signal processing.
    • Developed secure inference & speaker verification, leveraging state-space models for enterprise applications.
    • Developing TENNs TTS model

  2. Audio Machine Learning Research Intern

    LEAP Lab, IISc

    Responsibilities include:

    • Developed diarization systems for multilingual, multi-speaker environments with code-mixing, automating 40 hours of conversational data annotation.
    • Refined speaker detection by preprocessing audio and fine-tuning speaker activity detection using x-vectors.
    • Enhanced speaker boundaries with VB-HMM clustering for improved diarization accuracy.
    • Achieved DER of 28.04 for speaker diarization and 37.72 for language diarization on the DISPLACE dataset.

Education

  1. PhD, Computer Science

    University of Michigan, Ann Arbor
    Incoming PhD student at Soundability Lab Supervised by Prof Dhruv Jain.

  2. MS, Electrical and Computer Engineering

    University of Washington, Seattle

    GPA: 3.8/4.0 Research Project: Decoding Pain: Statistical Identification of Biomarkers from Electrophysiological Signals

    Advisors: Prof. Jeffrey Herron, Prof. Rajesh Rao

    Courses:

    • Statistical Learning
    • Deep Learning and Computer Vision
    • Computer Speech Processing
    • Digital Signal Processing

  3. B.Tech., Applied Electronics and Instrumentation Engineering with minor in Mathematics

    College of Engineering, Trivandrum
    GPA: 9.35/10.0 Thesis: Emotion Detection from EEG using transfer learning Advisor: Prof. Jerrin Thomas Panachakel
Awards
NSF AAAI'25 Student Travel Award
The U.S National Science Foundation (NSF) and AAAI ∙ February 2025
I am selected as a recipient of the Student Travel Award for AAAI 2025, sponsored by NSF to present my research paper “Decoding Pain: Statistical Identification of Biomarkers from Electrophysiological Signals”
Weil NeuroHUB and CoNECT Student Travel Award
Weil-Neurohub and CoNECT ∙ January 2024
I was awarded travel grant to present my research paper “Decoding Pain: Statistical Identification of Biomarkers from Electrophysiological Signals”
Electrical and Computer Engineering Student Conference Travel Award
Department of Electrical and Computer Engineering, University of Washington, Seattle ∙ January 2024
I was awarded travel grant by the Department of Electrical and Computer Engineering at the University of Washington to present my research paper “Decoding Pain: Statistical Identification of Biomarkers from Electrophysiological Signals”