I’m a computer science and applied AI student building and deploying AI systems in healthcare, with a focus on safety, reliability, and real-world impact.
I spend most of my time building Brane, an AI governance and safety lab where we work on making health AI systems safer to deploy in practice. In parallel, I work on open-source AI and thinking about how these systems behave outside controlled environments.
My Journey (real quick)..
I started out obsessed with Tony Stark, trying to build things that felt slightly out of reach, learning what AI could do, and figuring out how to create systems on my own. Over time, that curiosity turned into execution:
- Built chatbot systems early on, and later ran an agency deploying them for businesses in the US.
- Built Sttabot, scaling it to ~20,000 users and ~$30,000 in revenue as a solo operator
- Went on to build multiple AI-first healthcare products (HCGAI, Eklavya, TrackIVF, AI Twins) with Malpani Ventures.
- Led 3F VC as a founding GP under Malpani Ventures, working closely with early-stage AI companies
- Built realtime audio-visual clones of physicians to make best healthcare accessible 24×7 to everyone. Raised $100,000 in grants and worked with Stanford’s Spezi during this duration.
Current Focus: Brane
At Brane, I’m building an AI-native compliance layer for healthcare AI systems, designed to make these systems safer, more reliable, and deployable in real-world environments.
The goal is to move beyond static compliance processes and instead create systems that can:
- continuously evaluate AI behavior in high-stakes settings
- identify and surface failure modes in real time
- align AI outputs with clinical, regulatory, and operational constraints
This work sits at the intersection of capability and responsibility, focusing not just on what AI can do, but what it should reliably do in healthcare contexts.