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Applied Mathematics @ UC Berkeley

Tarun Yadgirkar builds AI systems, robotics, and embedded intelligence.

Embedded MLrobotics & autonomyapplied AI

I build AI systems, robotics platforms, and embedded intelligence — from FPGA-accelerated machine learning to assistive mobility robots. I'm studying Applied Mathematics at UC Berkeley, research embedded ML at Santa Clara University's WIN Lab, and filed a provisional patent for BALANCE, a hybrid legged-and-wheeled mobility device.

At a glance

Patent
BALANCE · 63/743,085
Paper
Youth Innov. Journal '25
Lab
SCU WIN Lab
Robotics
VEX Worlds qualifier
Based
San Ramon, CA

Technical focus areas

  • Embedded ML

    PyTorch/TensorFlow models, quantized and ported to FPGAs and constrained hardware

  • Robotics & autonomy

    Embedded and hardware robotics, autonomous systems

  • Applied AI systems

    CarePath, Klarity VoiceNote, GuestFlow — shipped AI product prototypes

  • Voice agents

    Grok Voice, Retell AI, ElevenLabs across four shipped prototypes

  • Human-assistive robotics

    Mobility and accessibility systems

Recognition

  • AIME qualifier (American Invitational Mathematics Examination)

    2026

  • Eagle Scout

    Boy Scouts of America

Collaborate

Open to research collaborations, internships, and technical projects.