About Me
I am a Mechanical Engineer with a Ph.D. from Georgia Tech, combining over a decade of experience across industry R&D and academic research. I started my career at Bajaj Auto, where I spent three years leading powertrain NVH optimization — designing active noise control systems on embedded DSP platforms, tuning exhaust psychoacoustics, and taking products from prototype through production validation. That hands-on engineering foundation led me to graduate research in acoustics and ultrasonics, first at Virginia Tech studying tire vibroacoustics and structure-borne noise, then at Georgia Tech developing transcranial focused ultrasound therapy systems — including acoustic holograms, skull aberration correction, and passive acoustic mapping. Most recently, at Meta Reality Labs Research, I built wearable ultrasound sensing technologies for AR/VR, working on compact transducer arrays, Doppler-based motion rejection, and real-time signal processing pipelines. Across these roles, I bridge computational modeling with hardware prototyping to solve complex problems in acoustics, vibration, and biomedical ultrasonics.
Organizations I have worked with
Research Philosophy
Research Areas & Expertise
Wearable Ultrasound Sensing
Engineering wearable ultrasound transducer sensing for AR/VR platforms. Expertise in multi-element system optimization, beamforming parameter tuning, Doppler-based motion rejection, and SVD-based clutter filtering for high-sensitivity physiological monitoring.
Transcranial Ultrasound Therapy
Developing acoustic hologram-based systems for non-invasive brain therapy. Implementing heterogeneous angular spectrum approaches for skull aberration correction, beamforming sequence optimization, and parametric array techniques for trans-skull monitoring.
Signal & Image Processing
SVD-based spatiotemporal filtering, strain imaging and elastography, Doppler flow processing, advanced beamforming (delay-and-sum, angular spectrum), and ultrafast high-frame-rate acquisition for transient event capture and volumetric image reconstruction.
Vibroacoustic Modeling & NVH
Experimental modal analysis, structural noise transfer path quantification, and active noise control with embedded DSP. Industry experience in powertrain NVH optimization, psychoacoustic tuning, and real-time adaptive filtering (FxLMS) on TMS320 platforms.
Neuromodulation Biophysics
Exploring biophysical mechanisms of ultrasound neuromodulation using high-frame-rate (ultrafast) acquisition to capture transient neural responses. Developing novel tools to control neuronal circuits, advancing non-invasive brain modulation.
Simulation & Scientific Computing
GPU-accelerated nonlinear wave propagation, differentiable physics simulators, data-driven acoustic modeling, machine vision, imaging with learned models, optimization techniques, and model order reduction.