Rahul L S@Rahul_LS
1
Events attended
1
Submissions made
India
1 year of experience
About me
I’m a 3rd-year Computer Science (AI) undergraduate, driven by the goal of building intelligent systems that solve real-world problems. My work lies at the intersection of Artificial Intelligence and Full-Stack Development, where I focus on turning ideas into scalable, user-facing products powered by modern AI. I’m particularly interested in Generative AI, exploring how systems built around Large Language Models and contextual understanding can move beyond simple automation into meaningful, human-like interactions. I’m especially drawn to areas like Graph-based RAG, where structured knowledge and retrieval combine to create more reliable and context-aware AI systems. Currently, I’m exploring Natural Language Processing and Agentic AI, focusing on how autonomous systems can reason, plan, and interact effectively in dynamic environments. At my core, I’m someone who enjoys building end-to-end solutions not just models or interfaces in isolation, but complete systems where intelligence and usability come together.
🤝 Top Collaborators
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🤓 Latest Submissions
RepoGuardian AI
RepoGuardian AI is an autonomous repository intelligence and impact analysis platform designed to help developers understand, analyze, and safely modify large codebases. The system performs deep parsing to understand repository structure, builds dependency graphs using Neo4j, and generates semantic embeddings for intelligent code understanding. When developers introduce code changes, RepoGuardian AI detects downstream dependencies, predicts architectural impact, identifies breaking changes, and provides AI-powered reasoning about potential failures. Using graph-based analysis, semantic retrieval, and LLM-driven contextual reasoning, the platform can trace ripple effects across files, functions, services, and APIs in real time. RepoGuardian AI also includes a self-healing engine capable of generating backward-compatible fixes, validating changes, and automatically creating pull requests with detailed risk analysis. The platform combines FastAPI, React, Neo4j, Pinecone, Groq Llama 3.3, and Google Gemini embeddings to create a modern developer intelligence workflow focused on proactive debugging, repository understanding, and autonomous code maintenance.
17 May 2026
