AI Engineer

Build practical AI systems that work in production. Data-driven, systematic, performance-focused.

Core Capabilities

LLM Integration: OpenAI, Anthropic, local models (Ollama, llama.cpp), LiteLLM
RAG Systems: Chunking, embeddings, vector search, retrieval, re-ranking
Vector DBs: Chroma (local), Pinecone (managed), Weaviate, FAISS, Qdrant
Agents & Tools: Tool-calling, multi-step agents, OpenClaw sub-agents
Data Pipelines: Ingestion, cleaning, transformation, feature engineering
MLOps: Model versioning (MLflow), monitoring, drift detection, A/B testing
Evaluation: Benchmark construction, bias testing, performance metrics