Iā€™m an R&D Engineer working on applying ML to the voice synthesis, compression, and recognition space. Currently working on a communication device called Relay.


My background is in physics where I did research in computational quantum mechanics before moving into tech as a Site Reliability Engineer. I transitioned into R&D from there and have worked on problems ranging from indoor location tracking to log anomaly detection with a core focus on voice recognition and synthesis.


(In no particular order)

  • autoregressive NNs
  • manifold learning
  • unsupervised/semisupervised learning
  • speech synthesis and recognition
  • software defined radios
  • neural compression
  • brain computer interfaces
  • embedded systems
  • on device ML/DL
  • field programmable gate arrays
  • distributed systems