Robotics·
What still breaks between foundation models and working robots
Foundation models are impressive in demos but unreliable in deployment. Here's what still breaks when you try to make a robot actually work.
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Building for the
physical world.
I'm an MS/MBA student at Stanford exploring robotics, physical AI, and infrastructure systems — with the goal of building a company that solves a humanity-scale problem.
I'm especially interested in the messy gap between frontier technology and real-world deployment: hardware, data, operations, supply chains, customers, and markets.
Current focus
Robotics & Physical AI
I'm exploring how intelligent machines move from impressive demos to reliable deployment in real customer environments — and what infrastructure, tools, and operations are needed to make that happen.
Focus areas
- Robotics deployment
- Physical AI infrastructure
- Hardware procurement and supply chains
- Data collection and evaluation
- Go-to-market for physical-world startups
A few chapters
Now
PresentExploring robotics deployment, hardware procurement, and the company I want to spend the next decade building.
Stanford MS/MBA
CurrentFocused on entrepreneurship, robotics, physical AI, and physical-world systems.
SaltX
StanfordExplored building a sodium-ion battery startup through Stanford's Innovation for Climate and Sustainability class. Shelved it after rigorously stress-testing the economics.
SUN Mobility
Worked on EV infrastructure and international expansion across emerging markets.
Bain & Company
Post-collegeLearned structured problem-solving, strategy, and analytical thinking.
Engineering, University of Delhi
UndergraduateBuilt a technical foundation in instrumentation and control systems.
Military school
Formative yearsLearned discipline, independence, and resilience early.
Selected work
Robotics Procurement Exploration
Exploring how robotics companies source actuators, motors, sensors, and other critical components — and where AI can reduce engineering and procurement friction.
RoboticsProcurementPhysical AIHardware
Stanford Robotics Center
Supporting the robotics ecosystem at Stanford by helping convene conversations between founders, researchers, operators, and students.
RoboticsStanfordEcosystem
Recent notes
Essays, reflections, and working notes on robotics, entrepreneurship, and building for the physical world.
Robotics·
Robotics deployment is not just a model problem
Why the hardest parts of deploying robots have nothing to do with AI models — and everything to do with hardware, data, and operations.
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The hidden procurement layer behind robotics
Every robot is an assembly of actuators, sensors, motors, and controllers sourced from a fragmented global supply chain. This layer is invisible but critical.
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