A fourth-year B.Tech student in Information Technology with a strong interest in software development, AI-driven systems, and building practical technology solutions. I enjoy exploring new ideas and working on systems that combine technical depth with real-world usability!

Web-based security analysis platform focused on automating the generation and validation of Content Security Policies (CSP). The system dynamically analyses website resource behaviour using Selenium-based browser automation and generates CSP configurations tailored to observed runtime activity. It also includes automated testing, reporting, and deployment workflows built using Flask, Docker, and Azure.

Beacon is a market intelligence and attention system that monitors financial instruments and identifies meaningful changes in market data. It compares historical prices, baselines, and current values to detect significant movements and surface the updates that are most relevant to the user. The project is designed to reduce information overload by turning raw market data into focused, actionable insights while using efficient data retrieval and change-detection workflows to support scalability.

Gatekeeper is a centralized authentication and authorization system designed to handle secure user access across applications. It provides JWT-based authentication, role-based access control, and REST APIs for managing users, roles, and permissions, with persistent storage for reliable access management. The project focuses on building a practical, scalable foundation for handling authentication and authorization in backend applications.

Machine learning-based churn prediction system developed to identify customers at risk of leaving a service platform. The project implements Logistic Regression and Random Forest models with automated preprocessing pipelines and achieved strong classification performance across evaluation metrics. An interactive Streamlit interface was developed to support real-time churn prediction based on customer attributes and behavioural inputs.

AI-powered resume optimisation platform designed to improve ATS compatibility and tailor resumes for specific job roles. The system analyses resumes against job descriptions, extracts ATS-focused keywords using NLP pipelines, and evaluates resume-role alignment through keyword matching techniques. It also integrates LLM-based resume enhancement and automated PDF generation to create professionally formatted resumes through a Flask-based web interface.

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