Technical presentations on production ML systems, LLMs, and enterprise AI.
ML World 2025 | Slides (PDF)
Building production RAG pipelines for Fortune 500 enterprises. Covers:
- Hybrid search architecture (semantic + keyword)
- Contextual retrieval and re-ranking strategies
- Production guardrails and injection testing
- Faithfulness evaluation for safe LLM responses
- Lessons learned from deploying RAG at enterprise scale
ML World 2024 | Slides (PDF)
Achieving 95% first-attempt accuracy on natural language to SQL translation. Covers:
- Prompt engineering strategies (JSON, YAML, HTML, Markdown formats)
- Schema representation and optimization
- Handling complex queries and edge cases
- Production deployment considerations
I'm a Lead ML Engineer building LLM-powered products for Fortune 500 clients. Author of RFX, a GPU-accelerated Random Forest library.
- 📧 chrisjkuchar@gmail.com
- 🔗 LinkedIn
- 📄 arXiv: RFX Paper