Information Technology Student • Full-Stack Developer • Backend Enthusiast • Building things that matter

• 🎓 B.Tech in Information Technology @ Manipal Institute of Technology, Manipal
• ⚙️ Focused on Backend Development and Full-Stack Engineering
• 🛠️ Love building REST APIs, scalable server-side systems, and clean frontend interfaces
• 🤖 Into Machine Learning — from ensemble models to hybrid detection systems
• 🌱 Always learning, always shipping

Languages

Backend & Frameworks

ML & Data

Databases & Tools

Hybrid rule-based + ML system for detecting Fast Flux DNS domains — published research

• Designed a custom rule engine (Rx) scoring domains across 6 DNS behavioral features
• Trained 7 ML classifiers (Random Forest, Gradient Boosting, SVM, KNN, etc.) achieving 99.3% accuracy and 0.998 ROC-AUC
• Full-stack implementation: Flask REST API backend + React dashboard with live analysis, score panels, and history export
• Results outperform prior state-of-the-art models (Ayo et al. 2023, Rana et al. 2021)
• Tech: Python, Flask, React, scikit-learn, XGBoost, dnspython, Tailwind

Full-stack football analytics platform — market value prediction & squad optimization

• Built a REST API backend with FastAPI handling predictions, player data, and squad logic
• React + TypeScript + Tailwind frontend with interactive dashboards
• Integrated ML models (Random Forest, XGBoost) as backend services
• Tech: Python, FastAPI, React, TypeScript, Tailwind, SQL

A cinematic movie discovery and recommendation app

• Mobile-first UI for browsing, searching, and discovering movies
• Integrated TMDB REST API for real-time trending, top-rated, and genre-based data
• Built with smooth navigation and clean component architecture
• Tech: React Native, Expo, JavaScript, TMDB REST API

Consistent DSA practice — Data Structures & Algorithms

• Problems solved across Arrays, Trees, DP, Graphs, and more
• Tech: C++, Python