Senior Frontend Engineer passionate about building scalable, maintainable, and high-performance web applications.

Most of my professional work has been on proprietary enterprise software, so the projects here focus on personal experiments, engineering patterns, and architectural concepts that reflect how I approach software development.

• ⚛️ Senior Frontend Engineer specializing in React, TypeScript, and Next.js
• 🏗️ Experienced in Frontend Architecture, Microfrontends, and Design Systems
• ☁️ Familiar with AWS, Serverless, and backend development using Node.js
• 🤖 Interested in AI-powered applications, LLMs, RAG, and Agentic AI
• 🧪 Advocate for code quality through testing, linting, and maintainable architecture
• 📚 Always learning and documenting engineering decisions

• React
• TypeScript
• Next.js
• Vite
• TanStack Query
• TanStack Table
• React Hook Form
• Tailwind CSS

• Node.js
• Express
• Serverless Framework
• AWS Lambda
• Amazon SQS

• AWS
• GitHub Actions
• Docker
• CloudWatch

• MySQL
• PostgreSQL
• Prisma

• Cypress
• Playwright
• Vitest

I enjoy solving problems beyond writing components.

Things I care about:

• Scalable Frontend Architecture
• Clean Code
• Developer Experience
• Performance Optimization
• Accessibility
• Reusable UI Systems
• Technical Documentation
• System Design
• Pragmatic Engineering

A production-ready React architecture showcasing scalable folder structures, authentication, API layers, testing, linting, CI, and best practices.

A practical implementation of Module Federation demonstrating independently deployed frontend applications and shared libraries.

Experiments with LLM-powered interfaces, streaming responses, tool calling, and modern AI UX patterns.

A collection of engineering notes covering:

• React
• TypeScript
• Frontend Architecture
• System Design
• AWS
• AI Engineering
• Performance
• Testing

• AI Engineering
• Model Context Protocol (MCP)
• Software Architecture

• LinkedIn: Check me out!

"Good software isn't just about shipping features—it's about building systems that remain understandable, maintainable, and scalable as teams and products grow."