My research interests sit at the intersection of machine learning, robotics, and embedded systems — specifically where software meets hardware constraints.
Machine Learning Model architectures, training dynamics, and the systems-level thinking that makes ML practical at scale. Long-term interest in frontier AI research.
Robotics & Autonomous Systems How learning systems interact with physical environments. Sensor integration, real-time control, and the gap between simulation and hardware.
Embedded Systems & Signal Processing Low-level C++ development, DSP, and the hardware-software interface. EEE gives a strong foundation here that most ML researchers lack.
I’m a first-year undergrad so formal research output is limited for now. The goal is to build deep technical foundations — maths, systems, and ML — before pursuing postgraduate research. Target: MSc/PhD in CS or ML, oriented toward research science roles at frontier AI labs.
Currently working through:
Open to research collaborations — see Contact.