A Model Context Protocol (MCP) server implementation for handling AI model interactions. Built with Python, this server enables seamless communication between AI models and applications.
Tech Stack: Python, MCP Protocol, AI Integration
Modern task management dashboard application with intuitive UI for organizing and tracking tasks efficiently.
Tech Stack: HTML, CSS, JavaScript, Modern UI
AI-powered loan approval system using XGBoost for credit risk assessment. Processes 200k+ records with reduced false positives by 18% using advanced feature engineering and target encoding.
Tech Stack: Python, XGBoost, scikit-learn, SHAP, Jupyter, AWS
Highlights:
- Reduced false positives by 18% using XGBoost + target encoding
- Processed 200k+ loan records
- Deployed on AWS EC2 with Tableau dashboards
MBA Tech campaign analysis and lead prediction system for optimizing marketing campaigns and identifying high-value leads.
Tech Stack: Python, Machine Learning, Data Analysis
Live GitHub leaderboard and benchmark tracking system with real-time updates. Deployed on Vercel.
Tech Stack: TypeScript, Next.js, Vercel
Advanced data insights and analytics platform for processing and visualizing complex datasets.
Tech Stack: Python, Data Analysis, Visualization
- 🔄 Real-time AI systems with MCP protocol integration
- 📊 ML pipelines for credit risk and campaign analysis
- 🚀 Scalable web applications with modern tech stacks
- 🤖 AI-powered tools for data engineering workflows
Based in India (IST) — open to collaborations 🌏
Pulse. Build. Roar. ⚡
Made with ❤️ using GitHub Actions & Python