Work

Selected work

A mix of things I've built, explored, and contributed to — across robotics, energy, AI, and strategy.

RoboticsProcurementPhysical AIHardware

Robotics Procurement Exploration

Exploring how robotics companies source actuators, motors, sensors, and other critical components — and where AI can reduce engineering and procurement friction.

Context

As robotics companies move from prototyping to production, procurement of physical components — actuators, sensors, motors, controllers — becomes a critical bottleneck. Most teams still rely on fragmented supplier catalogs, manual quoting, and ad-hoc sourcing.

What I worked on

Mapping the robotics procurement landscape: how companies source hardware components, where the friction points are, and whether AI-assisted procurement tools could meaningfully accelerate go-to-market timelines.

What I learned

Hardware procurement is deeply underserved by software. The gap between what a robotics engineer needs and what existing supply chain tools provide is enormous — and growing as more startups enter the space.

RoboticsStanfordEcosystem

Stanford Robotics Center

Supporting the robotics ecosystem at Stanford by helping convene conversations between founders, researchers, operators, and students.

Context

Stanford is one of the densest concentrations of robotics talent in the world — spanning research labs, startups, and large companies. The Robotics Center serves as a convening point.

What I worked on

Helping organize events, connect robotics founders with researchers, and build bridges between the academic and commercial robotics ecosystems at Stanford.

What I learned

The gap between robotics research and commercial deployment is wider than most people think. Great research doesn't automatically become great products — the translation layer is where most value gets lost.

AIB2BHardwareCommerce

Partly

Built an AI workflow for product content enrichment for electronics distributors; learned where agentic commerce breaks when technical product data is messy and unstructured.

Context

Electronics distributors manage millions of SKUs with inconsistent, incomplete product data. Content enrichment — adding accurate descriptions, specs, and metadata — is a massive pain point.

What I worked on

Designed and built an AI-powered pipeline for enriching product data: extracting specifications from datasheets, generating structured descriptions, and integrating with distributor catalogs.

What I learned

Agentic AI workflows break in predictable ways when the underlying data is messy. The hardest problems aren't the models — they're data quality, edge cases, and the long tail of exceptions.

EnergyMobilityInfrastructureEmerging Markets

SUN Mobility

Worked on international expansion for EV battery-swapping infrastructure across emerging markets, learning how hard physical deployment is in real-world operating conditions.

Context

SUN Mobility is building battery-swapping infrastructure for electric vehicles in India and other emerging markets — a capital-intensive, operationally complex business that requires deep physical-world execution.

What I worked on

Led international expansion strategy and business development across emerging markets. Evaluated new geographies, negotiated partnerships, and worked on the operational playbook for scaling physical infrastructure.

What I learned

Physical infrastructure in emerging markets is extraordinarily hard. Every assumption breaks: supply chains are unreliable, regulations are shifting, and customer behavior is unpredictable. The companies that win are the ones that out-execute on the ground.

EnergyClimateBatteriesEntrepreneurshipStanford

SaltX

Explored building a sodium-ion battery startup through Stanford's Innovation for Climate and Sustainability class. Shelved it after rigorously stress-testing the economics.

Context

Sodium-ion batteries offer a promising alternative to lithium-ion for stationary storage and certain mobility applications, using abundant materials and potentially lower costs.

What I worked on

Conducted deep market analysis, spoke with battery researchers, modeled unit economics, and evaluated the competitive landscape for sodium-ion chemistry against incumbent lithium-ion solutions.

What I learned

Knowing when to kill an idea is as important as knowing when to pursue one. The economics didn't work at the scale and timeline we were targeting — and intellectual honesty about that saved us from pursuing a dead end.

StrategyOperationsAnalytics

Bain & Company

Built structured problem-solving and strategy muscles across ambiguous business problems.

Context

Bain & Company is one of the top strategy consulting firms, known for results-oriented problem-solving across industries.

What I worked on

Worked on strategy, operations, and due diligence engagements across sectors. Built frameworks for breaking down ambiguous problems and delivering actionable recommendations under tight timelines.

What I learned

How to structure thinking under ambiguity, communicate clearly under pressure, and move fast with imperfect information. These muscles transfer directly to building companies.