Full-stack developer from India. I build web applications and machine learning pipelines, and I got into all of it through Android game graphics modding — which is still where the account name comes from.
- 🌐 Web — FastAPI back-ends with vanilla JS and HTML/CSS front-ends. No framework worship, just things that ship.
- 📊 Machine learning — classification and prediction on real tabular data: customer churn, click-through rate, hospital records. scikit-learn, pandas, Random Forest.
- 🎮 Android modding — texture and graphics mods for mobile games, reverse-engineered from the APKs.
- 🎓 Coursework — Smart India Hackathon entries and college systems projects, kept public so they're actually reviewable.
| Project | What it is | Stack |
|---|---|---|
| Plug-Point_website | EV charging platform — locate, book and pay for charging stations. | HTMLCSSJS |
| customer_churn_prediction | Churn predictor served over an API, Random Forest model with a web front-end. | PythonFastAPIscikit-learn |
| Aura-CTR-Prediction | Ad click-through-rate prediction — Gradient Boosting model with a React 19 front-end on Firebase. | ReactGradient BoostingFirebase |
| payload | AI chatbot embedded in Windows PowerShell and CMD. Code in, code out, no admin rights needed. | PowerShell |
| Hospital_Management_System | Modular patient-data analysis: demographics, treatment cost, medical patterns. | Python |
| SmartCampus_SIH | Smart India Hackathon campus-management prototype. | JavaScript |
| Employee_Management_library-c- | Employee records system — add, modify, delete, search. | C++ |
| Traffic-Rider-Graphics-mod | Remastered textures and graphics mod for Traffic Rider. | Androidmodding |
Also building AI and Android systems tooling over at
@GamerX3560 and an Arch Linux distribution at
@GamerXECO-sys55.
Graphics on this page are self-hosted animated SVGs, regenerated from the GitHub API by a scheduled workflow.
Graphics on this page are self-hosted animated SVGs, regenerated from the GitHub API by a scheduled workflow.