Skills

Programming Languages

Rust

C++17

Python

Dart

OS & Tools

FreeRTOS

Zephyr RTOS

Linux

OpenOCD

Git

GDB

CMake

Flutter

Dioxus

Network & Wireless Protocols

gRPC

MQTT

TCP

UDP

QUIC

BLE

OpenThread

GPS

Hardware Interfaces

I2C

SPI

CAN

UART

Processors

STMicroelectronics (STM32F7/STM32L4)

Texas Instruments (TM4C123G/CC1352)

BG96

Raspberry Pi

Beaglebone Black

NXP Semiconductors (LPC4078)

ESP8266/12E/32 Wi-Fi Chip

Experience

Qualcomm Technologies
Senior Software Engineer
December 2023 - Present
- Currently working on accelerating AI inference performance on Qualcomm GPUs to enable real-time, on-device execution of complex neural networks.
- Authored high-performance rust modules for encryption, logging, and created vital Rust bindings for the Qualcomm Cloud AI software stack to enable advanced AI workloads.
- Pioneered new strategies to enhance codebase concurrency and parallelism, as well as creating novel visualizations with distributed tracing to optimize performance.
Rust
C++17
Parallelism
Concurrency
Flatbuffer
Encryption
OpenTelemetry
FFI
Cellular Software Engineer
July 2021 - November 2023
- Contributed significantly to a 4G LTE project, integrating a Qualcomm Modem with Oneweb's LEO satellite grid by implementing diverse features and resolving complex bugs across the Middle Layer (ML1) and Firmware (FW) teams.
- Drove the development of GNSS Cold Start independently, coordinating closely with cross-functional teams to integrate it within the ML1 and FW architectures.
- Enhanced developer efficiency by proactively redesigning the logging system to automatically visualize asynchronous system interactions, resulting in multiple hours saved in debugging.
C
Python
LTE
Jenkins CI
Sequence Diagrams
TuringSense
Firmware Engineer Intern
December 2020 - May 2021
- Architectured performant drivers (UART, SPI, TWI) during board bring-up on the Nordic ecosystem.
- Designed 3 unique software prototypes to speed up BLE transfer speeds from 10kbps to 1.4mbps.
C
NXP Semiconductors
BLE
Device Drivers
Blue River Technology
System Software Intern
May 2020 - August 2020
- Implemented algorithms for a real-time robotics system part of the See and Spray Technology by leveraging C++ 17 and Python in collaboration with the team. Improved log storage and speed efficiency.
- Created a python tool to automatically sync and upload logs to the AWS cloud, improving the productivity of the team by 40 percent. Provided feature updates as per JIRA requests.
C++17
Python
CAN J1939
Nvidia
Linux
San Jose State University
Research Assistant
October 2019 - May 2020
- Successfully developed two embedded prototypes for firefighters in high-risk environments, integrating wireless technologies like LTE, BLE, and various sensors with AWS IoT Core.
- Achieved a significant 50 USD reduction in firmware costs per device and a 20% improvement in power efficiency for the second prototype.
GPS
LTE
MBED OS
Zephyr RTOS
BG96

Education

2019 - 2021
San Jose State University
Master of Science
Computer Engineering
Embedded Systems
2013 - 2017
Amity University
Bachelor of Technology
Electronics and Communication