How I got here

  1. Systems

    Linux, networking and Cisco labs taught me to read one layer lower before guessing.

  2. AI meets hardware

    A face recognition model driving an Arduino was my first taste of AI that acts in the physical world.

  3. Research

    Speech separation with SPMamba and MossFormer 2, presented at UEC ASEAN 2026, taught me to describe only what I actually observed.

  4. Medical edge AI

    All of it came together in one question: how do we bring careful listening and screening to clinics without specialists or internet?

What I work with

  • Signal processing
  • Source separation
  • TinyML
  • Embedded C
  • ESP32 / nRF52 / RP2040
  • Python · PyTorch
  • Linux
  • Networking

What I’m learning next

  • PCB design for the device enclosures and boards
  • FPGA for faster, lower-power signal processing
  • IC design as the long-term direction

Let’s talk

If you work in a clinic, a school or a lab and this sounds useful, I would love to hear from you.