Drosophila automation
Computer vision and assay software for a team-built fruit-fly research automation platform, recognized with a People's Choice Award.
Python · Computer vision · Classification · Raspberry Pi
09 / Independent signal-analysis software
A readable workspace for signals and their transformations.
An educational biosignal studio for filtering, time/frequency inspection, annotations, comparison, and report exports.

01 / Context
Signal-processing steps are easier to understand when the original signal, its transformed views, and the analysis settings stay connected. A useful learning workspace lets people inspect those relationships directly.
02 / Ownership
I built a browser-based workspace for ECG, EMG, PPG, respiration, and synthetic signals, with filtering, FFT, spectrogram, annotation, and export workflows. The emphasis is transparent exploration and review rather than diagnostic conclusions.
03 / Architecture
Open a sample or synthetic signal and review its time-domain behavior.
Compare filtering and frequency-domain views, including FFT and spectrograms.
Mark intervals and preserve context alongside the signal.
Create a reviewable report of the analysis and selected views.
04 / Validation
Educational prototype using sample or synthetic signals. Not a medical device, diagnostic service, or clinically validated research tool.
05 / Perspective
An analysis interface should make transformations understandable. Keeping settings, views, and annotations together helps a reviewer explain how a result was produced.