Abhinav Bhardawaj

I’m someone who enjoys building things that solve real problems. I’m driven by curiosity, initiative, and the excitement of seeing an idea turn into something people can actually use. I learn fast, pick up new tools quickly, and I enjoy working at the intersection of software, UI/UX, and real-world impact.

What I’m Good At

Problem-Solving → breaking down vague problems into clear steps
Full-Stack Development → Django, REST APIs, JavaScript, Tailwind
Machine Learning Basics → XGBoost, preprocessing, deploying simple models
System Design Thinking → roadmaps, scalable structure, clean architecture
Rapid Prototyping → building workable MVPs fast (24–48 hours)
User-Centered Design → clean UI, simple flows, intuitive features
Communication → explaining concepts and making complex systems easy

What Drives Me

Building something useful — not just code, but products people actually interact with
Learning by doing — hackathons, quick prototypes, experiments
Simplifying complex things so others can understand and use them
Impact — I like solving problems related to safety, education, productivity, and students
Curiosity — whenever I find a system I don’t understand, I feel the need to break it down

Interesting Projects I’ve Built / Worked On

1. AI-Based Terrain Risk Analyzer (Hackathon Project)

A web app where users select a location on a map, and the backend model predicts a “risk score” (flood/landslide probability).
Used: Django + ML + Map APIs.

2. Coding Pasanga — Learning Website

A Django-based platform for juniors to learn DSA and Web Dev, with features like:
custom authentication
calendar heatmap for daily streak
LeetCode & GFG API integration
profile pages, activity tracking

3. Credit Card Fraud Detection API

DRF + XGBoost model that returns:
fraud prediction
fraud probability score
Clean backend structure with ml_model/ folder and service layers.