About Andrés Espinosa Sanfiel
Executive Summary
I am an AI consultant and engineer focused on agentic AI systems, hybrid RAG pipelines, and production AI platforms. My work sits at the point where architecture, business value, and operational reality need to meet. I help teams move from promising prototypes to systems that can support daily usage, evolving requirements, and measurable outcomes.
My background combines economics, data engineering, data science, and AI product delivery. I hold a Master's degree in Advanced and Applied Artificial Intelligence from the University of Valencia and a Bachelor's degree in Economics, which gives me both a technical and business lens when shaping AI solutions.
Professional Experience
Sala Scala - The Wise Dreams | AI Engineer
Sep 2024 - Present
- Designed agentic AI systems with deterministic orchestration, reducing manual competitive analysis processing time by 70%.
- Built production FastAPI services with WebSocket support serving 500+ daily API requests for live AI workloads.
- Engineered hybrid RAG pipelines over OpenSearch and Qdrant, improving domain-specific retrieval accuracy by 40%.
- Delivered a production GenAI email automation system presented publicly at Datamecum Webinar 2025.
ElasticCloud | Data Scientist
Oct 2022 - Mar 2024
- Developed and deployed RAG applications using Azure Cognitive Services, large language models, Python, and FastAPI.
- Automated AI solutions with Docker, Azure services, and production-minded deployment workflows.
- Implemented MLOps practices including experiment tracking, model versioning, and deployment pipelines with MLflow.
ElasticCloud | Intern Data Engineer
Nov 2021 - Oct 2022
- Contributed to Apache Spark ETL pipelines and large-scale data preparation workflows.
- Worked extensively with PySpark DataFrames, SQL analysis, and reporting for operational data tasks.
Certifications & Speaking
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Microsoft Certified
Azure AI Engineer Associate
Azure Data Scientist Associate
Fabric Analytics Engineer Associate
Azure Fundamentals -
Databricks Certified
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Speaker at Datamecum Webinar 2025, presenting a production GenAI email automation system built with Pydantic-AI, RAG, and FastAPI.
Core Stack
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Agentic AI & Orchestration
LangChain, PydanticAI, Agno, MCP protocol, deterministic workflows, multi-step agents, and tool orchestration.
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Retrieval & Data
OpenSearch, Qdrant, PostgreSQL, PySpark, SQL, and domain-specific search architectures that combine vector and keyword retrieval.
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Platforms & Cloud
Python, FastAPI, WebSockets, AWS, Azure, Docker, ECS, Lambda, S3, and backend APIs built for real usage.
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Delivery & MLOps
CI/CD, MLflow, model tracking, deployment workflows, and hexagonal architecture for maintainability and decoupling.
Working Style
- I start from the business objective and define the technical shape around measurable outcomes.
- I prefer deterministic workflows and explicit system boundaries over fragile prompt-only behavior.
- I build for production-readiness early, so scaling, maintainability, and observability are considered from the start.
- I am comfortable working independently or embedding into an existing engineering or product team.
Languages & Availability
- Fluent in English and Spanish.
- Based in Spain and available for remote collaboration across Europe.
- Open to freelance, contract, and selected long-term opportunities.