Ravi Kunapareddy

I'm Raviteja Kunapareddy, a GenAI engineer who builds functional AI systems that people actually use. I've developed healthcare RAG systems with Gemini, multi-agent sales workflows with CrewAI, and fine-tuned financial LLMs with QLoRA — all deployed and documented on GitHub. My background spans classical ML (XGBoost, SHAP) to modern GenAI, giving me a solid foundation for building robust AI applications.

I build full-stack LLM applications with persistent memory, vector search, and multi-agent routing — deployed on cloud infrastructure with containerized architecture. My recent work includes a healthcare RAG system using FAISS for semantic search, a financial analysis tool with fine-tuned Llama models, and multi-agent workflows that coordinate between different AI specialists. I focus on making AI systems that are reliable, maintainable, and actually solve business problems.

I'm passionate about making AI accessible and practical for real-world applications. There's something incredibly rewarding about taking research and turning it into tools that people actually use and benefit from. I believe the future of AI lies not in impressive demos, but in reliable systems that seamlessly integrate into existing workflows.