AI-first builder Turning ideas into intelligent products

Full-stack shipping FastAPI backends, Flutter apps, cloud workflows

Learning in public Sharing the journey on YouTube & Instagram

I'm A Jerrin Anto — a Computer Science (AI & Machine Learning) undergraduate who builds products at the intersection of AI, backend engineering, and mobile development. I care less about chasing trends and more about shipping things that actually solve a problem someone has.

Most of what I build lives at the intersection of:

• 🤖 AI & Machine Learning — turning data into decisions
• ⚡ FastAPI / Backend Systems — the engine room nobody sees but everyone depends on
• 📱 Flutter — taking that engine and putting it in someone's hand
• ☁️ Cloud & DevOps — making sure it doesn't fall over at 2am

Currently: Building, learning, and shipping small products end-to-end — model to API to app. Mission: Solve real problems with AI, not just demo them. Vision: Build a startup where the product, not the pitch deck, does the convincing.

Build More. Learn Faster. Solve Bigger Problems.

flowchart LR
    Idea[💡 Problem] --> Model[🤖 AI Model]
    Model --> API[⚡ FastAPI Backend]
    API --> App[📱 Flutter App]
    App --> Cloud[☁️ Cloud Deployment]
    Cloud --> Users[🌍 Real Users]

🔭 Learning    → Advanced system design & production ML pipelines
🛠️ Building    → AI-powered full-stack products (FastAPI + Flutter)
🔍 Exploring   → AI agents & multi-platform app architecture
📈 Improving   → Clean architecture, testing discipline, deployment workflows
🌱 Growing     → From "writes code" to "ships systems"

📌 This card pulls live data from leetcode.com/u/antojerrin — problems solved, ranking, and acceptance rate update automatically. No manual upkeep needed.

I didn't start with a business plan — I started by noticing problems worth solving and trying to build my way into a solution. Each project on this profile is part of that process: a real attempt at something useful, not a polished pitch.

I'm still early. I don't have a funded company or a product with thousands of users — what I have is a habit of shipping, getting feedback, and rebuilding better. That habit is the actual asset.

• 🔰 Learning to contribute meaningfully — not just chasing PR counts
• 🤝 Believe the best way to learn a codebase is to fix something small in it first
• 📦 Long-term goal: maintain or co-maintain a project people actually depend on

"Code that isn't understood is just borrowed — I build to own what I ship."

• 🌙 Most of my best debugging happens after midnight
• 🧩 I'd rather understand why code breaks than just fix it and move on
• ☁️ I have a habit of overengineering side projects into "platforms"
• 📐 I sketch system architecture before I write a single line of code

I treat engineering as a craft, not a checklist. That means:

• Understand before you build — copy-pasted code is borrowed risk
• Ship small, ship often — momentum beats perfection
• Design for the next person — including future me
• Measure, don't guess — data over assumptions, always

✅ Current   → Mastering full-stack AI product development
🔜 Next      → Deepening system design & distributed architecture
🔮 Future    → Leading or co-founding an AI-driven product team
🌠 Dream     → Building something that meaningfully outlives the hype cycle

I'm always open to connecting with people building interesting things. If something here resonates — reach out, let's talk.

Thanks for stopping by — now go build something.