Hello, I am Pranav Mehta

Embedded Engineer

Who am I?

Engineering student passionate about Embedded Systems

Hello! 😄 I’m Pranav, an aspiring embedded engineer who grew up fascinated with construction sites, airplanes, computers, and the entire idea of inventing. Typical of most members of my generation, I grew up conscious of radical environmental changes occurring because of human activity. From a young age, I have wanted to acquire knowledge and use that knowledge to make this planet a cleaner, greener and happier place.

I am committed to finding and implementing innovative ways to combat pollution and waste through the use of science and technology, and I believe that through effective research and sustainable practices, there are real possibilities out there to discover. I am currently looking for research and internship opportunities where I can apply my knowledge of science, computer science, electrical engineering, networking, and cloud technologies.

I'm currently a second year undergraduate student at UC San Diego, where tech 💻 and natural beauty 🌸 converge. My hobbies include reading 📖, gaming on my Switch 🎮, and taking walks/jogs/scooter rides to explore 🌍 new places!

My Projects

click each to learn more, or scroll for a tldr of the most relevant

TLDR:

Sustainable Robotics Software Lead | Yonder Deep

Yonder Deep pursues projects for climate change research in collaboration with researchers from Scripps Institute of Oceanography
Current project is an Autonomous Underwater Vehicle that collects data from environments that are difficult for humans to access
Leading team of 8 on developing the AUV’s autonomous navigation system, representing organization through outreach events
Working with 2 researchers at WCSNG on developing a 5G base station to provide high bandwidth communication with the AUV
Solely developed Python module on Raspberry Pi for encoding and processing data from onboard GPS sensor and GUI map used to plot the AUV’s course and made encoding scheme dynamic to future modifications, this is critical for the AUV’s navigation system
Developing computer vision (stereo vision based) system for obstacle avoidance used with path planning system of AUV

Triton Robocup Embedded Software Lead | IEEE Student Branch at UC San Diego

Leading team of 19 to develop hardware and embedded software in C used in soccer playing robots for the Robocup competition
Developed software using STM32CubeIDE for STM32F427IIH6 (ARM M4) board to receive encoded commands over UART from the Raspberry Pi and control the motors using the CAN bus and GPIO, architected encoding scheme with the 2 software leads
Compiled online resources and wrote 50+ pages of documentation to guide team on using UART, PWM, CAN, GPIO, I2C, and SPI using the HAL, spearheaded team training efforts and troubleshooted board and debugger issues to improve team efficiency

Embedded/IoT Software Developer | VAWT Project, Engineers for a Sustainable World

The Vertical Axis Wind Turbine Project (VAWT) is an engineering project under ESW that aims to develop and prototype an IoT connected wind turbine that will eventually be deployed at UCSD as a model for small scale urban renewable energy
Developed software module using C++ and Arduino IDE for ESP8266 wireless board that records readings of anemometer sensor using analog voltage values and receives data from wind direction sensor using Modbus protocol and RS485 serial interface

YouLostIt Project

Made a Bluetooth tracker device using a power-efficient real-time embedded application on a STM32 B-L475E-IOT01A board that enters “lost” mode when the board has not moved for 60+ seconds and starts sending BLE packets to nearby phones
Wrote bare-metal drivers in C for the GPIO and Timer peripherals, communicating with the accelerometer sensor using I2C, and communicating with the Bluetooth Low Energy chip using SPI, read more: https://www.pranavmehta.com/you_lost_it.html

Donnez App

Solely developed an Android app in Kotlin that enables users to send others reward points for acts of kindness or volunteering
Users set up accounts with cloud-based multi factor authentication using AWS Amplify Auth (AWS Cognito)
Points are sent with P2P wireless communication using Android Nearby Connections and are stored in a local database that syncs to the cloud when the user connects to the internet, implemented with AWS Amplify Datastore (DynamoDB & GraphQL)