Vision of Grove uses cutting-edge machine learning of geospatial data to predict community vulnerability in cyclone-prone regions, where the destruction of mangroves intensifies storm impacts. VOG provides real-time insights through Earth Engine to empower governments, NGOs, and civilians to implement targeted defense measures.

We've been recognized as Conrad Challenge finalists (Top 25 / 4,700 teams) and Diamond Challenge semi-finalists, and our work has supported the reforestation of 900+ mangroves in the Sundarbans.

SurgicalView is a medical imaging startup I founded based on my research in neurosurgical AI. We build advanced deep-learning pipelines that help radiologists and neurosurgeons locate, segment, and visualize brain tumors with greater accuracy and speed.

Brain tumor diagnosis is time-sensitive, but current workflows are slow, fragmented, and dependent on manual segmentation. Through insights from neurosurgeons and radiologists, we developed a neurosurgical pre-processing pipeline that results in the generation of segmented 3D brain models. These brain models are displayed through Microsoft's HoloLens and display detailed analysis into both tumor and surrounding healthy anatomical regions.

Our system is currently undergoing testing with clinical partners, helping evaluate tumor boundaries, assess surgical trajectories, and improve pre-operative planning. SurgicalView was recognized as GYEC North America Division First Place and has received over 10k+ in funding.

I proposed developing EarGuard, an AI-powered in-ear health monitor, with just three weeks to build an MVP.

The Problem: Wrist-based devices like Apple Watch can't predict strokes or monitor concussions and migraines. EarGuard uses in-ear biosensors to detect early indicators invisible to wrist monitors.

What I Built: Embedded PPG sensors into MVP, and developed a neural network for detecting anomalies in cardiovascular and brain waves. Developed a platform to return predictive and preventable insights to the user.