OngoingSeries6 parts
Building production AI solutions.
AI Engineer
Solving domain-specific business problems with AI, from training data to production.
- LLM fine-tuning
- Adapting open-weight models to domain-specific business tasks that run faster, cheaper, and at scale
- AI agents and agentic workflows
- Multi-step systems with tools, MCP, memory, context management, and human‑in‑the‑loop
- Evaluation
- Designing benchmarks, evaluation metrics and LLM‑as‑judge setups that show whether a model is actually better
- Model deployment
- Inference optimization, deployment, and tracking in production at scale
- Retrieval systems
- RAG pipelines, chatbots, semantic search
- Recommendation systems
- LLM and embedding based product, customer, and contextual recommendations