RADHIKABUILDS.SPACE
A white page resumeRADHIKA SYSTEM
CSIT Undergraduate & Aspiring Developer
Fresher • Open to Collaborations • Open to Learning Opportunities
I build software because I love seeing ideas transform into real-world applications. For me, programming is about continuous curiosity and hands-on creation.
My focus is at the intersection of AI and software engineering—taking models out of isolated scripts and deploying them inside clean, responsive web environments.
Instead of just studying theory, I prefer to learn by building practical projects and solving problems that make a difference.
I am currently looking for opportunities where I can collaborate on impactful systems and grow as an engineer.
■ system-specs.log
TECHNICAL STACK
Featured Projects
Glaucoma Detection System
An advanced deep learning classification system that analyzes fundus eye images to detect glaucoma. Engineered with convolutional networks and validated with high accuracy for early diagnostic support.
Campus Placement Prediction
A predictive machine learning system utilizing ensemble classification to determine student placement probability. Features comprehensive data pipelines for preprocessing, scaling, and feature engineering.
Mini RAG System
A Retrieval-Augmented Generation pipeline that enables context-aware question answering over custom document libraries using vector search and a lightweight local language model.
django-core-api
A secure, modular REST API backend featuring token-based authentication (JWT), relational database schemas, and robust controllers.
radhikabuilds.space v1.0
The custom portfolio system featuring interactive terminals, a mechanical odometer hits counter, and responsive Retro-OS themed design.
JOURNEY
SYSTEM REPORT: The story of how this system was built, from the first line of code to a live portfolio. A documentation diary tracking engineering evolution.