🎓 I'm a Computer Engineering undergrad passionate about building secure, scalable, and intelligent systems.
🚀 Currently contributing to open-source projects and developing real-time applications and machine learning models.
- Languages: JavaScript, TypeScript, Python, C++
- Frameworks & Tools: Node.js, Express, React, MongoDB, Socket.IO, Scikit-Learn, XGBoost
- Domains: Real-time Systems, AI/ML, Software Development, Cybersecurity Basics, Open Source Collaboration
Secure chat app with private/group messaging, file sharing, and persistent encrypted communication using Node.js, Socket.IO & MongoDB.
🧠 Focus: Low-latency messaging, role-based access, scalable backend.
Trained models (Random Forest, XGBoost) on financial data to predict loan defaults with 80%+ accuracy.
🧠 Focus: Feature engineering, model evaluation, explainability.
Analyzed global climate data to extract trends and anomalies using regression and visualization in Python.
🧠 Focus: Data cleaning, time series insights.
- 🔧 STDLIB (JavaScript Standard Library): Functional APIs, testing, documentation
- 🛠️ Core Toolkit: React components, Vercel deployment, documentation automation