Engineering Science student at the University of Toronto. ML compiler engineer, robotics builder, and hardware tinkerer — making robots, AI systems, and things that move.
I'm an Engineering Science student at the University of Toronto, expected to graduate in May 2027. I've worked as an ML Compiler Engineer Intern at Tenstorrent, focusing on compiler technologies and machine learning optimization on AI hardware.
I build across robotics, embedded systems, and full-stack software — from magnetic coil guns with computer vision to community discovery platforms at hackathons. I lead technical teams at IEEE UofT and UTMIST, and I'm always looking for the next hard problem at the intersection of hardware and AI.
Interests: funny robots, cooking, the gym, table tennis, bass guitar, and cheddar broccoli soup. Feel free to reach out for collaborations or just to chat about engineering.
Developed compiler optimizations for AI hardware, working with LLVM and MLIR on machine learning workloads.
Leading ASIC design initiatives and mixed-signal IC development for the student branch hardware team.
Research on neuromorphic computing, spiking neural networks, and memristor-based hardware implementations.
Electrical & Computer Engineering focus. Building across hardware, software, and AI — expected graduation May 2027.