Building production-grade AI systems powered by Large Language Models, retrieval pipelines, and tool-augmented workflows.

I design and build production-grade AI systems with a strong engineering focus:

• LLM-based applications for task automation and decision workflows
• Retrieval-Augmented Generation (RAG) systems with embeddings and vector search
• Agentic workflows with tool integration and structured output validation
• Modular AI APIs and services (FastAPI), containerized deployments (Docker)
• Evaluation and monitoring workflows to ensure reliability, scalability, and cost control
• Performance optimization under real-world constraints (latency, memory, throughput)

Languages: Python · C/C++ · Bash
LLM Systems: LLM APIs (OpenAI-style) · Embeddings · RAG · Vector DBs (FAISS, Chroma) · Agentic orchestration (LangChain / LangGraph-style)
ML: PyTorch · scikit-learn · NumPy · Pandas
Systems: Docker · Linux · Git · CI/CD
Cloud: AWS · GCP

PhD in Computer Science, bridging research rigor with production-ready AI system design and deployment.

Email: mmontielpz@gmail.com
LinkedIn: https://www.linkedin.com/in/miguel-angel-lopez-montiel/