Zakin Abdul Rahman
AI Backend Engineer | Building Scalable Agents & APIs
Ready for work
Zakin is ready for their next project!
CloakChat - Anonymous Messaging App 💬
Ever wanted to chat without leaving a trace? That's what I built!CloakChat lets people message anonymously - no signups, no tracking, just secure conversations.
What it does:
- Jump in and chat instantly (no accounts!)
- Real-time messaging with WebSockets
- Complete privacy - no data collection
- Clean, simple interface
Built v1 with FastAPI + ReactJS. Already planning v2 with encryption and disappearing messages! 🚀
Tech: FastAPI • ReactJS • WebSockets • Docker
Check it out: https://github.com/zakinabdul/CloackChat
Love building real-time apps and privacy tools. Open to cool projects if you need help with APIs or secure communication!
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I’ve honestly been skeptical of the whole "vibe coding" trend, but I decided to test it out properly with Google Antigravity and the speed is actually incredible.
I’m currently building MoodMend, an AI-powered PWA voice journal. The concept: You speak, it listens, and the AI analyzes the sentiment to visualize your mood trends over time.
I’m building the entire thing inside Antigravity, letting the new AI agents handle the heavy lifting for the full-stack logic (FastAPI + React). It’s fascinating to see how the agents orchestrate the build process.
It’s still a Work In Progress , but I’ll be dropping the beta link here once it’s ready for testing.
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I’m currently building Version 2 of DraftFlow, a tool built to help students and researchers skip the boring part of writing: formatting.
The concept is simple: You dump your raw ideas in, and DraftFlow turns it into a polished, formatted report instantly. But the real power is in the editing phase.
I’m integrating a custom AI agent framework that acts as a co-pilot. It doesn't just fix grammar; it helps you research topics, change the tone of your writing, and elaborate on complex ideas directly within the editor.
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I just build an API to improve the workflow of LLM trainers.
The core workflow is like this: You input an URL and my API scrap the website content by removing the unwanted things in scraping which can reduce the cost of LLM tokens, improve training and on
I have also created an playground for it so that people can try it's workflow
you can check it out here: https://rag-playground-converter.vercel.app/ :
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