I'm a Frontend Engineer focused on building reliable, scalable, and developer-friendly applications.
| π Currently | Building Hyperse Data Tracker and frontend data collection solutions |
|---|---|
| π§ Deep interests | TypeScript type inference, Apollo GraphQL, Next.js architecture |
| π€ AI direction | AI agents, tool calling, RAG, structured output, workflow automation |
| π§° Engineering taste | Clean boundaries, strong typing, reusable tooling, practical abstraction |
| π― Goal | Build software that is easy to use, easy to reason about, and easy to evolve |
| Area | Keywords |
|---|---|
| π§© Frontend Architecture | React, Next.js, App Router, component design, performance |
| π‘ TypeScript Engineering | generics, conditional types, utility types, type-safe APIs |
| π GraphQL Data Layer | Apollo Client, schema-first development, cache strategy, codegen |
| π Internationalization | next-intl, locale routing, multilingual product experience |
| π€ AI Applications | agents, tools, RAG, prompt workflows, AI-assisted development |
| π Data Tracking | event modeling, analytics reliability, frontend instrumentation |
const aiSkillSet = {
agentDevelopment: ['tool calling', 'multi-step workflows', 'structured output'],
llmApps: ['RAG', 'prompt engineering', 'human-in-the-loop experience'],
frontendAI: ['AI-assisted UI', 'chat interfaces', 'developer automation'],
engineeringAutomation: ['code generation', 'documentation', 'workflow tools'],
} as const;| Principle | Meaning |
|---|---|
| Type first | Make invalid states hard to represent |
| Clear boundaries | Keep UI, data, and business logic easy to reason about |
| Performance-aware | Optimize real user experience, not only scores |
| DX matters | Turn repeated work into reliable tools |
| AI as leverage | Use agents to amplify engineering workflows |
- Advanced TypeScript type modeling and inference
- GraphQL schema design, Apollo cache, and generated type workflows
- Next.js App Router, i18n architecture, and frontend performance
- AI agent development, tool use, RAG, and automation workflows
- Frontend data tracking, analytics reliability, and observability




