At the Microsoft AI Innovators Summer Internship, I built Beacon, an offline RAG document assistant with a Python pipeline, a Flask JSON API, and a bilingual web UI. I adapted it to Foundry Local and added an offline fallback and pytest coverage.
For my STM32 Real-Time PID Altitude Control System project, I modeled flight dynamics and validated a discrete-time PID controller in MATLAB. I implemented the controller in C on an STM32 microcontroller and tested it on hardware.
In my Lag Compensator Control System Design project, I designed a compensator that raised the velocity error constant and reduced steady-state ramp error. I modeled it in MATLAB/Simulink and LTspice, then built the circuit on perfboard and confirmed the improvement with measurements.
My current senior design project focuses on early fault diagnosis in oil wells. I’m developing the evaluation protocol and training Random Forest, LSTM, and TCN models on oil well sensor data.
