I'm excited about rethinking how we build software in the AI era. How do we combine the craft of clean, scalable front-end engineering with the speed and leverage of AI? What does it look like to bridge the gap between front-end expertise and backend innovation while never compromising on code quality?
With a decade of experience as a front-end developer, I've built scalable, performant architectures for e-commerce platforms and multi-store applications. Along the way, I've focused on clarity, responsiveness, and accessibility, turning design into seamless, user-friendly experiences.
AI-driven coding workflows
How to get the most out of AI without compromising quality
Open-source collaboration
Exploring the backend landscape
Looking beyond the obvious uses of GenAI
Adaptability
N8N automations
Always returning to the fundamentals to solidify my experience
With Claude Opus 4.5, Gemini 3 Pro, and GPT-5.1 all claiming to be "the best", how do you actually figure out which one to use? Let's break down the real way to evaluate AI models.
A weekend project that turned into an automated content machine for crypto news, and what I learned about n8n along the way.
After 10 years on GitHub, I’m looking back on my journey as a developer
Prepare for success in your JavaScript interviews with these 50 essential topics, covering everything from core concepts to advanced techniques.
A showcase of my recent projects and contributions, featuring modern web technologies and innovative solutions.
An n8n workflow automation that posts automatically on Instagram, keeping followers updated with cryptocurrency news and insights.
A cryptocurrency price alert application that notifies users about significant price changes in their favorite cryptocurrencies.
A adoption platform to connect pets with potential pet owners to facilitate adoptions, already helped 60 pets find their forever homes.
An AI-powered platform that summarizes YouTube videos into key points, mind maps, and structured content.
