I’m a Computer Science and Business Systems student passionate about AI, software development, and building technology-driven solutions to real-world problems. My projects include PriceIQ, an AI-driven pricing optimization system for demand forecasting; Spark Learn, an adaptive learning platform designed for neurodivergent children; and a Multi-Platform Wishlist Recommendation System that combines machine learning, vector embeddings, and community-based recommendations to deliver personalized product suggestions. I enjoy working with Python, Java, React, Next.js, FastAPI, and machine learning tools, while continuously exploring new technologies and improving my problem-solving skills. Beyond development, I actively participate in technical and cultural events through student communities and leadership initiatives. I’m excited to be part of GDG DevFest Hyderabad to learn from industry experts, connect with fellow developers, explore emerging technologies, and collaborate on innovative ideas. Always eager to learn, build, and grow!
PriceIQ — AI-Driven Pricing Strategy Optimization
Independently learned FastAPI and Next.js to build a full-stack demand forecasting and pricing optimization app. • Applied OOP and modular design principles building RESTful APIs; presented modeling trade-offs to the faculty advisor to guide iteration.
Multi-Platform Wishlist Recommendation System
• Built a hybrid recommendation engine combining feature-hashed vector embeddings, cosine similarity, and graph-based community detection (Louvain algorithm), weighing accuracy vs. computational complexity for personalized suggestions. • Designed a multi-factor scoring model fusing user similarity, community preference, trending signals, and browsing behavior, with cold- start handling and online feedback learning. • Deduplicated product data across Amazon, Flipkart, Myntra, and Ajio via fuzzy matching, and integrated the Anthropic API for LLM- assisted reranking with a rule-based fallback.
BTech
Gokaraju Rangaraju Institute of Engineering Technology
Attendee · Oct 24, 2026