About
I am a Research Scientist Intern at Meta Reality Labs Research and a Ph.D. candidate in Mechanical Engineering at Georgia Institute of Technology. With over 10 years of experience spanning academia and industry, I specialize in mechanical design, hardware development, and sensor integration for advanced applications in robotics, AR/VR, and medical ultrasound therapy. My unique background combines deep expertise in acoustics, vibration analysis, and multi-physics simulation with hands-on experience in translating research prototypes into manufacturable products.
Current Research
At Meta Reality Labs Research, I'm developing next-generation ultrasound-based sensing technologies for AR/VR wearable systems, focusing on high-performance sensor design and real-time signal processing algorithms. My doctoral research at Georgia Tech investigates transcranial focused ultrasound therapy and ultrasound system design, where I've developed novel acoustic hologram systems and fast parallelized models for skull aberration correction and neuro-navigation based on nonlinear acoustics
Research Areas
Advanced Sensing Systems
Designing and prototyping ultrasound-based sensors for AR/VR applications, developing tactile and force sensing technologies for robotics and wearables, with expertise in sensor characterization and performance optimization.
Transcranial Ultrasound Therapy
Developing acoustic hologram-based systems for non-invasive brain therapy, implementing heterogeneous angular spectrum approaches for skull aberration correction, and advancing parametric array techniques for trans-skull monitoring.
Vibroacoustic Modeling
Applying wave simulation and structural acoustics to complex systems, from tire NVH analysis to neuromodulation biophysics. Expertise in modal testing, transducer characterization, and multi-physics simulation.
Scientific Machine Learning
Integrating AI/ML techniques with acoustic modeling for intelligent electromechanical design, implementing data-driven approaches for signal processing and system optimization in sensing applications.
Professional Journey
Research Scientist Intern - Meta Reality Labs
May 2025 - Present
Leading development of cutting-edge ultrasound sensing technologies for next-generation AR/VR systems. Collaborating with cross-functional teams to solve complex technical challenges in sensor physics and real-time signal processing.
Graduate Research Assistant - Georgia Tech
2020 - 2025
Pioneering research in transcranial ultrasound therapy and neuromodulation. Key achievements include:
- Developed fast parallelized acoustic propagation models for skull aberration correction
- Designed acoustic hologram systems accounting for skull heterogeneity
- Investigated mechanical and acoustic interactions with neuronal circuits
Senior Design Engineer - Bajaj Auto Ltd.
2015 - 2018
Led powertrain integration and NVH optimization for automotive systems with 3+ years of industry experience in:
- Hardware design (DFM/DFA) and product validation
- Psychoacoustic tuning of exhaust systems
- Vibration modeling and predictive analytics
- Design failure analysis and reliability enhancement
Technical Expertise
Core Competencies
Wave simulation & acoustic modeling • Hardware prototyping • Digital signal processing • Modal testing • Sensor integration • Noise & vibration analysis • AI/ML applications in acoustics
Design & CAD
SolidWorks • Siemens NX • AutoCAD • GD&T • Design for Manufacturing (DFM/DFA) • Rapid prototyping • Product validation
Analysis & Simulation
COMSOL • HyperMesh • ANSYS • Adams • ME'Scope • Finite Element Modeling (FEM) • Multi-physics simulation
Programming
Python • MATLAB • Simulink • Scientific computing • Data processing • Real-time signal analysis • Algorithm development
Research Philosophy
My research philosophy centers on bridging fundamental scientific understanding with practical engineering solutions. Whether developing breakthrough medical technologies or advancing consumer electronics, I combine rigorous experimentation with high-fidelity computational modeling to tackle complex challenges. My interdisciplinary background enables me to approach problems from multiple perspectives, creating innovative solutions that transition from laboratory prototypes to real-world applications. I believe the most impactful research occurs at the intersection of disciplines, where insights from acoustics, mechanics, materials science, and data science converge to solve society's most pressing challenges.
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