Darshan D Vishwanath

I build systems from the silicon up and chase their limits to planet scale.

At Apple, I build the retail platform behind every Apple Store worldwide, the kind of system that cannot go down no matter how much of the world arrives at once. Before that, at Samsung Research, the Night Mode pipeline I helped build shipped to millions of Galaxy phones, working so close to the hardware that a millisecond was an eternity. The same engineer at both ends of the stack. Lately what I'm most curious about is what comes after it, so on my own time I bet on agents and local AI. This site keeps the record honest.

ROLE: SWE @ APPLE · STATUS: BUILDING

2024 — now·Austin, TX

Apple — Software Engineer

The retail platform behind every Apple Store on the planet, at 99.99% uptime.

JavaSpring BootKafkaTemporalKubernetes

summer 2023·Hillsboro, OR

Skyworks Solutions — Software Intern

Made TensorFlow Lite for Microcontrollers measurably faster, then upstreamed it.

tflite-microC++MLflowAudio ML

2021 — 2022·Bangalore, India

Samsung R&D Institute — Senior Software Engineer

Night Mode I helped architect runs on millions of Galaxy phones.

C++Neon SIMDGPUNPUCamera

2025 — now·exploring

Agents & Local AI

The bet:The next runtime for AI isn't just the datacenter. It's your browser and your own device.

An open-ended exploration, not a single project. The first artifact is a CrewAI multi-agent platform (Gemini 2.0 + GPT-4o) that crawls career portals with Playwright, acts through MCP, and hands low-confidence decisions back to a human, completing 85% of tasks. More artifacts in progress.

CrewAILangChainMCPPlaywrightbrowser-use
buildingretail-scale distributed systems at Apple
thinkingwhat on-device AI unlocks when models fit anywhere
readingpapers on agent architectures and tool use

updated