shivamaieng

I’m a final-year Computer Science student focused on building production-ready AI systems, particularly LLM-powered and agentic applications. My work centers on integrating large language models into backend architectures using Python, FastAPI, and vector databases to create deployable, scalable AI services.

I’ve built and deployed a multi-user RAG system with session-aware retrieval, caching, and API-based integration, and contributed to adversarial AI evaluation under a Google Research collaboration. I’m especially interested in designing reliable AI systems that combine strong backend engineering with modern LLM capabilities.