Enterprise AI Capstone Projects Overview
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| PORTFOLIO-GRADE CAPSTONE ROADMAP |
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| Project 1: Enterprise RAG PDF Knowledge Engine (ChromaDB + FastAPI) |
| Project 2: Autonomous Text-to-SQL Analyst Agent (Self-healing + sqlglot) |
| Project 3: AI-Driven Data Quality & Anomaly Detector (Semantic drift) |
| Project 4: Automated Code & Airflow DAG Review Bot (GitHub Action integration) |
| Project 5: Multi-Agent Lakehouse Governance Team (LangGraph Orchestration) |
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Welcome to the Capstone Projects Track
These five capstone projects represent real-world enterprise systems designed specifically for Senior Data Engineers, AI Engineers, and Platform Architects.
Each project is structured with:
- System Architecture Diagrams: Full dataflow and component breakdowns.
- Production-Grade Implementation: Modular Python code using standard enterprise libraries.
- Guardrails & Security: PII masking, AST validation, error recovery, and rate limiting.
- Evaluation & Verification: Testing strategies to guarantee production reliability.