π€ Innovative AI & Data Science
From experimentation to production-ready AI
- Building and operationalizing LLM, GenAI, and agent-based systems
- Practical approaches to model selection, evaluation, and cost control
- RAG, embeddings, and vector pipelines in real production contexts
- Applying classical ML and statistics alongside modern GenAI
- Lessons learned from teams shipping AI, not just demoing it