BCA student who builds things. Right now that means Siagnos — a recommendation engine for fanfiction readers, built in Python from a custom-scraped dataset.
I build things, then figure out what comes next.
I'm a BCA student at Starex University (graduating 2027), based in India. My background is backend — Python, Flask, databases — and I've been building up from there since 2024.
Right now I'm working on Siagnos: a recommendation engine for fanfiction readers. AO3 has millions of fics and no real discovery layer. I scraped the data, I'm building the model, and I'm figuring it out as I go.
Before that I shipped Argeia — a behavioral procrastination tracker with a 5-layer pipeline and 98 tests — as my CS50x final project. Each thing I build teaches me something the previous one didn't.
A selection of projects — each one a step further than the last.
An AI taste engine for fanfiction readers — built to fix the broken discovery problem on AO3. Recommendation systems on sparse, niche, deeply personal data. Built in Python from a custom-scraped dataset.
A behavioral procrastination tracker that models why you delay tasks. Ships a 5-layer pipeline — signals, windows, pattern detection, behavior evaluation, and a proposal-driven state engine — with 98 unit and integration tests and a full Flask web interface.
A full-stack secure file storage system with bcrypt auth and session handling. Each user gets an isolated private folder. Deployed live.
A lightweight desktop tool that auto-organizes photos into date-based folders. Clean Tkinter GUI, log generation, packaged as a standalone .exe.
A full-stack mood voting app with a dynamic frontend and a Node.js/Express backend that tracks and stores submissions persistently.
Tools and technologies I've used in real projects.
Every project was a level up from the one before it.
Whether it's an internship opportunity, a collaboration, or a question about one of my projects — reach out.