projects/experiences
founded nexus neurotech @ stanford
I lead one of Stanford's largest engineering student orgs, organizing hardware & AI-focused makerspace projects, industry collabs with companies like Neuralink and Science, and campus-wide demo days.
undergraduate researcher @ neural prosthetics and translational lab, stanford
We're building the world's first invasive Brain2Voice BCI that reads from the brain's language network, not the motor cortex. Existing systems like Neuralink's are neither real-time nor usable by most patients who can't speak, since they require motor cortex signals these patients often no longer have. I'm working on ML architectures and training, study design, and vocoder development.
ml, cellular engineering @ apple
Shipping an AI tool to 2000 firmware engineers to speed up cross-team integration. Working on build optimization and hardware-aware agentic coding automation.
bare-metal EEG-controlled robotic arm
I love embedded programming, and I coded a simple OS, from scratch, for this project. Here's what I did: 1) On a RISC-V MCU, I built a simple OS (communication protocols, printf, memory management, keyboard protocol, interrupts). 2) I'm building a custom-EEG acquisition system, with a custom-built headset and the OpenBCI Cyton Board. 3) I'm predicting motor intention from this data on Mango Pi via spike detection and sorting, and Kalman filters / GRU neural nets.
lead for neurotech partnerships @ KIMS Hospitals, India
Reporting to the chairman, I scout new neurotechnologies to launch investigational studies at KIMS Hospitals, one of the largest hospital chains in India. I successfully did this for our MRgFUS program — one of first in Asia. I am now looking for BCI partners to deploy their tech into KIMS’ clinical network.
here's the satellite!
building a satellite @ stanford space initiative
I'm working on a team that is building a cube-sat bound for orbit in the Spring. Here's what I do: 1) embedded sensor integration: develop C drivers for attitude determination and control, integrating sun sensors and magnetometers for orbital orientation 2) control algorithms: implementing Kalman Filters for state estimation and closed-loop control logic to drive actuators from sensor fusion data 3) system architecture & testing: made modular flight software with FSM frameworks; validated software with hardware-in-the-loop testing on custom chips and MCUs.
link to our repo →AI & VR research, virtual human interaction lab @ stanford
I developed a cognitive state monitoring system by integrating EEG, EMG, and eye-tracking with real-time ML (kalman filtering, GRUs) to create an adaptive VR environment. I also designed an underwater VR study with 90 participants to assess sensory conflict in VR users.