The engineer who wants every millisecond back
Kartick Rajen builds AI that runs fast on small hardware, from sub-millisecond action recognition at Intel to low-latency brain-computer interfaces in Taiwan. He is now a grad researcher in New York City.
Kartick “Karr” Rajen focuses on making systems faster and more efficient, so that computationally intensive work can run where it is needed. He is a Master's student in Electrical and Computer Engineering (AI Systems track) at Cornell University and a graduate researcher at Weill Cornell Medicine.
Before Cornell, he spent six months in Taiwan on a Ministry of Education TEEP fellowship, working on hardware-software co-design for low-latency brain-computer interface datastreams. His work spans financial engineering, computer vision and edge AI, and has produced three first-author IEEE papers.
Write to Karr (Anonymous by default)



