Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge
1. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ...
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Building intelligent systems, one line of code at a time 🚀
👨💻 Master's student in Applied Computing (AI Specialization) at University of Windsor 🏆 1st Place Winner - NLP & Large Language Models Workshop 2025 🔧 I build end-to-end solutions - from distributed file systems in C to production-ready RAG systems achieving 91% precision. Currently exploring the intersection of AI and software engineering. 📊 My projects span the full spectrum: real-time collaborative web apps, intelligent recommendation systems, and machine learning pipelines that actually work in production. 🌱 Always learning, always building. When I'm not debugging code, you'll find me experimenting with the latest AI frameworks or contributing to open source. 🎯 Currently seeking co-op opportunities to apply my skills in real-world challenges. 📍 Windsor, ON | 🔗 Open to connect and collaborate!
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