About Advaith Vecham

About

I'm a Computer Science student at the University of Washington (Seattle), expected 2027. I work across the stack — from Rust contributions to the Linux kernel's timing subsystem, to CUDA kernels for quantized LLM inference, to autonomous browser agents that plan and self-heal.

Most recently I've been building Insuo, a hierarchical plan-first browser agent that also learns and creates automations without prompting, and contributing to the Rust for Linux subsystem. I was also selected for YC Startup School (top 10% of 30,000+ applicants).

When I'm not deep in kernel code or CUDA kernels, I'm usually doing competitive math/programming (AIME, USACO Gold) or exploring new corners of systems and ML.

What I work on

• contribute Rust abstractions to the Linux kernel.
• write CUDA kernels for quantized LLM inference.
• build autonomous agent architectures (planning, self-healing, context management).
• compete in math and programming (Codeforces, PUTNAM).

Skills

• C++
• CUDA
• LLM
• Python
• React
• Rust
• Agents
• Desktop
• Docker
• Emulation
• Fly.io
• Gemini API
• Git
• Infra
• ML
• ML Infra
• Node.js
• Performance
• PyTorch
• Quantization
• Systems
• Tauri
• TensorRT-LLM
• TypeScript
• Vite
• WebKit