A portfolio of projects built during the AI Engineering Bootcamp. Each week tackles a new challenge — from multi-provider LLM gateways to production RAG pipelines.
Week 1 — Multi-provider LLM gateway with chat UI
A FastAPI-based LLM gateway supporting OpenAI GPT-4o Mini, Anthropic Claude Sonnet, and Google Gemini Flash. Features text summarization, sentiment analysis, interactive chat with conversation history, and prompt engineering with 3 strategy variants.
Week 2 — Interactive RAG pipeline over RL research papers
A full RAG system built over 10 reinforcement learning research papers. Features an interactive 6-step notebook, live Q&A chat with hybrid BM25 + vector search, dual evaluation (heuristic + LLM-as-judge), and one-click autoplay.
Week 3 — Multi-agent customer support with MCP & A2A
A multi-agent customer support system built with Google ADK. Features a root router that delegates to billing (MCP), returns (A2A), and escalation sub-agents with real-time streaming.