At Spydarr Web Technologies, I contributed to an AI-powered real estate analytics and property valuation platform, developing features for listings, analytics, recommendations, and property evaluation.
I worked across full-stack development and AI/ML integration, including Python-based functionality for property price prediction and anomaly detection. I also collaborated on data engineering pipelines to improve data flow and quality between frontend and backend components.
As a Web Development Intern at InternshipStudio, I developed web applications with HTML, CSS, PHP, and MySQL. I implemented CRUD operations for data management and worked on website functionality and backend logic.
I built QuickStock, an inventory analytics system covering 5,000+ records, with predictive restocking recommendations and interactive Power BI dashboards. I also built BookGenie, a collaborative-filtering recommendation engine using a 10,000+ record dataset, and integrated its model into a web application.
