Hi, I'm Gauri 👋
I'm a future Master's student in Electrical and Computer Engineering at the University of Wisconsin-Madison with a Bachelor's in Software Engineering from the University of Western Ontario. My main focus is on building software for real-world engineering systems. My experience spans nuclear inspection tools, robotics interfaces, and data-driven system design.
- Engineering-focused software systems (analysis, simulation, data pipelines)
- Robotics interfaces and control systems (SPOT / JACKAL)
- Full-stack and backend development (Python, C#, Node.js)
- Applied machine learning for data analysis and classification
Brain Imaging Software (Capstone – Synaptech)
Developed software for processing and analyzing brain imaging data as part of a full-stack engineering capstone project.
→ https://github.com/UWO-ECE-Software-Engineering/Synaptech
Turbine Inspection System (ETS Project)
Full-stack application for managing turbine inspection workflows, including outage tracking, scope data processing, and engineering reporting.
→ https://github.com/gmore25/ETS-Project
Formula Telemetry & Race Strategy Platform
Real-time telemetry ingestion, processing, and race strategy simulation system inspired by professional motorsport engineering.
→ https://github.com/gmore-eng/formula-telemetry-strategy-platform
Brain Tumor MRI Classification (CNN)
Implemented and evaluated multiple convolutional neural network architectures for classifying MRI images, including performance analysis using ROC curves, confusion matrices, and training metrics.
→ https://github.com/gmore25/Machine-Learning-Project
AI Stylist (Full-Stack AI Application)
Built a full-stack web application that generates personalized outfit recommendations using user-uploaded images, weather data, and multimodal AI APIs.
→ https://github.com/gmore25/AI_Stylist
Robotics Interface (SPOT / JACKAL GUI)
Built a user-facing interface to control and interact with robotic systems in a live demo environment.
Self-Balancing Robot — Embedded Control System (In Progress) Designed and implemented a modular embedded systems project focused on attitude estimation and closed-loop control for a self-balancing robot using ESP32 and IMU sensors. The project is structured as a multi-phase engineering system, progressing from sensor validation to full closed-loop control.
- Integrated MPU-6050 IMU with ESP32 via I²C
- Implemented sensor calibration and drift correction
- Developed complementary filter for real-time tilt estimation
- Validated system stability through live serial data visualization
- Established reliable orientation estimation suitable for control systems
- Sensor fusion (accelerometer + gyroscope)
- Real-time embedded signal processing
- System calibration and validation
- Deterministic loop-based firmware design
- Motor actuation and torque characterization
- Closed-loop PD/PID balance control
- Stability tuning and disturbance rejection
- Full system integration on mobile platform
Western Engineering Satellite Team
Contributed to software and systems development within a multidisciplinary team building satellite technology.
→ https://github.com/westernsatelliteteam
Formula Student / Motorsport Engineering Team
Collaborated on engineering systems related to vehicle performance and data, working in a team environment similar to real-world motorsport development.
→ https://github.com/Western-Formula-Racing
I'm particularly interested in building systems that bridge software with real-world applications—especially in areas like energy, robotics, and high-performance systems.