01 / DEV_TOOLS
MOCKKIT
API development toolkit with mock server, request recording, replay, and browser-level interception. Record real API traffic, replay it offline, test without backends.
TYPESCRIPTNODE_JSCHROME_EXTPROXY
RoleCreator
StatusBeta
SOFTWARE_ENGINEER // OPEN_SOURCELESS BUT
LESS BUT
BETTER.
Software engineer building at the intersection of web performance, AI integration, and developer tooling. Previously at Adobe and Zscaler. Now building open source tools for the modern web.
Previously: Adobe, Zscaler
Focus: WebGL, WASM, AI Tooling
SELECTED_WORKS
INDEX [001-005]02 / DESIGN_SYSTEM
AETHERUI
A headless Web Components design system built for flexibility and framework-agnostic integration. Provides unstyled, accessible primitives that work anywhere.
WEB_COMPONENTSTYPESCRIPTA11Y
RoleCreator
StatusBeta
03 / PERFORMANCE
WEBGL_TOOLKIT
High-performance WebGL rendering toolkit with WASM-powered SIMD optimizations. Implements LLTB downsampling for efficient large dataset visualization.
WEBGLWASMRUSTTHREE_JS
RoleEng & Design
StatusActive
04 / DATA_VIZ
VIZCRUSH
GPU-accelerated data downsampling and anomaly detection with an MCP server for AI agents. Feed it a million points, get back what matters.
WEBGPUWASMMCPLTTB
RoleCreator
StatusActive
05 / AI_ENGINEERING
CLIENT_SIDE_AI
Privacy-focused AI agents running entirely in the browser using WebAssembly. On-device LLM inference with RAG pipelines — no data leaves the client.
WASMWEBWORKERSLLMRAG
RoleCreator
StatusResearch
CORE_CAPABILITIES
TECHNICAL_STACK
01 / ENGINEERING
- TYPESCRIPT / REACT01
- NEXT.JS / NODE02
- WEBGL / WASM03
- RUST / GO04
02 / ARCHITECTURE
- SYSTEM_DESIGN05
- API_ARCHITECTURE06
- DATA_PIPELINES07
- EDGE_COMPUTE08
03 / TOOLS
- VS_CODE / NEOVIM09
- GITHUB / VERCEL10
- FIGMA / LINEAR11
- DOCKER / K8S12
04 / FOCUS
- WEB_PERFORMANCE13
- OPEN_SOURCE14
- AI_INTEGRATION15
- DEVELOPER_TOOLS16
RECENT_ENTRIES
VIEW_ALL →Agentic UI: When AI Stops Talking and Starts Doing
The shift from conversational to agentic interfaces — and what it means for frontend architecture.
The LLM Agent Debugging Problem: Building Observability from Scratch
A practical guide to debugging LLM agents, with structured logging utilities, trace visualization components, and replay infrastructure you can steal for your own projects.
Building Private & Offline LLM-Powered Experiences: Client-Side AI Agents with Wasm
Learn how to build browser-based AI agents that run entirely on the client side using WebAssembly. This guide covers implementing a RAG system with local LLM inference for private, offline-capable applications.