I'm Parth, a junior studying Electrical Engineering at Penn State, graduating in May 2028.
I enjoy engineering projects where the hardware, software, and people using the system all matter. That might mean debugging a sensor with an oscilloscope, writing firmware that has to behave predictably, or building an app that researchers can trust with their data.
Right now, most of my work is in research software, native mobile development, and systems integration. I'm especially interested in embedded engineering, firmware, vehicle electronics, and the boundary between physical systems and code.
Explore the code and engineering notes →
A water quality monitoring system for research in Central Pennsylvania. The goal is to let a field collector record measurements on an iPhone, preserve the original scientific record, and give researchers a controlled way to review observations before they appear on a public map.
- Built a native SwiftUI iPhone app with durable field drafts, measurement entry, and correction workflows.
- Designed private Firebase storage, server validation, role based review, and a revision history that preserves what was originally submitted.
- Developed a reviewer console and an ArcGIS publication path with privacy controls and an anonymous public dashboard.
- Added automated contract, security, and interface tests, plus CI and TestFlight release tooling.
Current stage: internal iOS testing and release verification. The public dashboard is intentionally empty until a real observation completes authorized review and publication.
Sample dashboard screen with clearly labeled demonstration data, not published research results.
Explore OrgFlow → · Team repository → · Demo video →
At c0mpiled-15, Penn State (October 2026), our team built OrgFlow, an AI powered institutional memory product for nonprofits. It helps teams turn scattered documents and organizational context into reviewable playbooks and handoff workflows so important knowledge can outlast staff transitions.
Our team placed first in AWS Best Use of AWS and second in Bloomerang's AI Agent for Volunteer Coordinators challenge.
My contributions include a realistic fictional nonprofit showcase with source documents, structured staff records, controlled imports, and tests for organization isolation and review workflows. See my merged pull request.
Led a four person student team building a haptic navigation prototype for people with visual impairments. I wrote C++ firmware for an Arduino Nano and worked with five ultrasonic sensors and five vibration motors. We investigated timing jitter, false echoes, and sensor crosstalk with real measurements and oscilloscope debugging.
| Hardware and embedded | Applications and systems | Engineering workflow |
|---|---|---|
| C++, Arduino, Raspberry Pi | Swift, SwiftUI, TypeScript, React | Git, GitHub Actions, automated testing |
| Sensors, PWM, MOSFET control | Firebase, Node.js, Next.js | Debugging, system validation, documentation |
| Oscilloscopes, multimeters, digital logic | Python, MATLAB, ArcGIS | Prototyping, integration, review workflows |
I also worked on a smart glasses speech to text prototype with Penn State ASME through May 2026, contributing to audio capture, local speech recognition, and transparent display integration.
I started by making physical projects and trying to understand why they worked. That curiosity keeps expanding into electronics, software architecture, product development, and research. I care about the details that make something dependable, not just whether it looks good in a demo.
I'm open to connecting with people building embedded products, automotive systems, research tools, and practical software.