CV

Basics

Name Dhairya Shah
Label PhD Student in Computer Science
Email dhairya@u.nus.edu
Phone +91 9769016020
Url https://dhairyashah1.github.io/
Summary Embedded Systems and Wireless Communications Researcher

Education

  • 2024.08 - present

    Singapore

    PhD
    National University of Singapore (NUS)
    Computer Science
    • Advanced Topics in Computer Networks
    • Advanced Topics in HCI
    • Embedded Software Design
    • Intelligent Robots
  • 2023.06 - 2019.08

    Mumbai, India

    B.Tech
    Veermata Jijabai Technological Institute (VJTI)
    Electronics and Telecommunications Engineering

Work

  • 2025.05 - 2025.08
    Research Intern
    Nokia Bell Labs, Cambridge, UK
    Designed a distributed edge-cloud framework to deploy multi-modal sensory (LLMs) on resource-constrained devices with minimal cloud dependency.
    • On-device AI
    • Multi-modal sensory LLMs
    • Distributed systems
  • 2023.11 - 2024.08
    Research Assistant
    WEISER Group, National University of Singapore
    Designed energy-efficient communication and embedded AI (PixelGen) camera architectures for extended-reality devices.
    • Embedded systems
    • Low-power RF communication
    • XR systems
  • 2023.06 - 2023.09
    Summer@EPFL Research Intern
    SENS Lab, EPFL, Switzerland
    Engineered a software-defined mmWave testbed for Joint Communication and Sensing (JCAS), implementing optimized beamforming codebooks to enable rapid spatial scanning.
    • mmWave beamforming
    • Joint communication and sensing
    • Phased array systems
  • 2022.12 - 2023.06
    Embedded Software Intern
    Espressif Systems, India
    Developed firmware and SDK enhancements for Matter-enabled IoT devices, contributing feature implementations and fixes to the esp-matter open-source repository.
    • Embedded software
    • Matter protocol
  • 2022.05 - 2022.08
    Research Intern
    CRITIAS Lab, ETS Montreal, Canada
    Developed a multi-stream synchronization platform ensuring precise temporal alignment between high-fidelity audio and heterogeneous bio-sensory data.
    • Bio-sensing
    • Signal processing

Awards

Skills

Languages
C
C++
Python
Kotlin
Matlab
P4
Frameworks
ESP-IDF
gnuradio
ROS
Gazebo
riscv-gnu-toolchain
Technologies
GNU Make
CMake
ESP32
STM32
Arduino
Raspberry Pi
MSP430
Apollo Ambiq
Softwares
GNUOctave
Eagle
KiCAD
Multisim
Logisim
Proteus
CANopen
ISPSoft

Projects

  • 2025 -
    AudioCast
    AudioCast is a novel "Beyond-Backscatter" transmitter utilizing tunnel diode oscillators to enable microwatt-scale, long-range communication compatible with commodity receivers.
    • Beyond-Backscatter
    • Tunnel Diode Oscillator
    • Ultra-low Power Wireless
  • 2024 -
    PixelGen
    PixelGen is a distributed low-power embedded AI camera system for mixed-reality that leverages generative AI to reconstruct high-fidelity environments from low-resolution, multi-modal sensor data.
    • Generative AI
    • Low-power Sensing
    • Mixed Reality