A machine learning model was developed to detect the presence of chorus effect in a given sound. The model was trained using synthesized audio data.

[C++, JUCE, plug-in state management, extending JUCE components to create custom components, sprite sheets]

Worked on resolving critical MIDI and state management related issues to help smooth commercial release of a well reputed synthesizer plug-in.

[C++, JUCE, phase alignment, audio buffer handling, inter process communication]

Boost integration, developed on top of JUCE to manage VST plugin parameters using Python.

[Python, librosa, Tkinter]

[Python, .NET Core, Nginx, Linux, X API, Google Trends API, Chart.js, Cron Jobs, Linux Hosting]

-Integration of Perplexity AI API to a web page to answer Thai Language related user queries. -Django backend invokes API calls.

Web application to process a set of images and generate a PDF document. The output PDF is formatted based on the user specified parameters and files on FTP.