At Lumiinous, I lead development and system integration for an embedded AI companion robot spanning software, mobile, databases, custom PCBs, sensing, and actuation.
I integrate Python audio capture, transcription, model inference, decision logic, and SQL-backed memory into working hardware-software systems. I test end-to-end behavior, validate latency, and have optimized typical interaction response times to under three seconds.
My biomedical engineering and neural-interface research background informs how I build reliable systems, from processing neural activity data to designing closed-loop embedded controls, an emotionally intelligent Raspberry Pi robot, and Arduino sensing systems.
