MoodScope
Real-time facial-emotion recognition, quantized for the edge
Reads emotion from a face in real time on a Raspberry Pi 4, using INT8 quantization to run entirely on the edge so nothing ever leaves the device.
Computer Engineering B.S. ’27 · USF
Undergraduate researcher · Bellini College of AI
Tampa, FL
Full-stack developer and researcher at USF. I build end to end: backend, data, ML, and the interface, with a strong foundation in ML.
I’m a computer engineering student at the University of South Florida (B.S. ’27, Green & Gold Presidential Scholar) with a Math minor, and an undergraduate researcher at USF’s Bellini College of AI.
I work end to end, from the backend and data layer to the model and the interface. I’ve shipped on-device ML on a $35 board, an automatic DJ, and a crisis platform that stayed up at ~99.9% for over ten thousand people. The math behind the work is in the Lab.
Real-time facial-emotion recognition, quantized for the edge
Reads emotion from a face in real time on a Raspberry Pi 4, using INT8 quantization to run entirely on the edge so nothing ever leaves the device.
Automatic beat-matched mixing, driven by a learned model
Blends tracks into one continuous mix, using a dual-stage model to pick the technique and generate the automation curve for each transition.
Real-time audio-reactive graphics from live sound
Turns live audio into reactive graphics: a 44.1 kHz ingestion pipeline drives 12+ styles on a 2-D canvas, held at a steady 60 FPS.
10,000+ people to live ICU beds and oxygen
A platform I founded during India's second COVID wave that connected 10,000+ people to live ICU-bed and oxygen availability.
Building something, or hiring for a full-stack or ML role? I reply to everything. Based in Tampa, FL · open to full-time software and ML engineering roles.