About Me

I’m Fahid Nasir, a software engineer from Germany. I build tools, open-source software, and AI applications. My work spans web development, mobile apps, backend infrastructure, and machine learning.

🛠️ What I Do

I focus on solving real problems through code. Rather than chase the latest trends, I prefer building tools that save developers time and creating systems that scale. I’m particularly interested in making AI accessible through open-source infrastructure.

📚 My Journey

I started coding in 2012 and have worked across aviation, fintech, and healthcare industries. Along the way, I’ve learned that well-designed systems compound in value—they become more useful over time as more people use them.

Open-source development has been central to my work. Publishing code publicly taught me more about software design than years of closed-door development. The feedback from real users shapes better decisions than internal speculation.

🎯 Core Interests

AI and Machine Learning: Fine-tuning models, RAG systems, and making advanced AI accessible without cloud dependency.

Developer Tools: Building CLIs, platforms, and frameworks that improve developer experience (DX). I built tree2f, an NPM package that converts ASCII trees into file systems.

Open Source: Contributing to shared codebases, maintaining projects, and learning from others’ code. Every tool I use teaches me something.

Backend Infrastructure: Databases, APIs, and deployment systems that work reliably at scale. I’ve worked with PostgreSQL, Supabase, and various deployment platforms.

Web and Mobile: Full-stack development with React, React Native, TypeScript, and modern frameworks like Astro and Next.js.

📖 What I Share

This blog covers technical deep-dives, project case studies, and practical guides. Posts tend to be long and detailed because I believe in showing work—not just conclusions.

You’ll find:

• Technical write-ups on AI, backend infrastructure, and web development
• Project case studies (what worked, what didn’t)
• Comparisons and reviews of tools and platforms
• Cheatsheets and quick references
• Open-source learnings and best practices