Cristian Meroño

Applied AI Engineer · Clinical Data · Knowledge Graphs · LLMs

📍 Cartagena, Spain 📧 me@cristianmerono.com 📞 (+34) 684 308 179 🔗 LinkedIn 🌐 cristianmerono.com

Work Experience

R&D Engineer – Applied AI

Cercle AI

Nov 2024 – Present

Hybrid

Design and build clinical data transformation pipelines — from unstructured EHRs to ML-ready datasets — orchestrated with Apache Airflow on Kubernetes.
Extract structured data from clinical records deterministically using LLMs (OpenAI API, AWS Bedrock).
Build AI agent systems to automate internal scientific workflows.
Support the client accounts team with ad-hoc data analyses for pharmaceutical clients.

✦ Key Achievement

Led the first large-scale analysis of ovarian stimulation protocols for a European pharmaceutical client (Ferring): 198,782 IVF/ICSI cycles from 42 US clinics (2010–2024). Published as a poster at ISPOR 2026, Philadelphia — Value in Health Vol. 29 S6, code HSD44.

PythonOpenAI APIAWS BedrockApache AirflowKubernetesNeo4jPostgreSQLStreamlitDocker

Engineering Team Lead

Cercle AI

Jan 2024 – Nov 2024

Hybrid

Project management with Jira and Kanban; roadmap design and resource planning.
Ensured all client deliveries on time, meeting quality standards.
Stakeholder meetings with engineering team, clients, board of directors and C-level.
Assisted in closing the next investment round, presenting to over 60 US investment funds.

✦ Key Achievement

Closed the largest US fertility clinics as clients — accumulating EHR data of 3 million patients. Built and led our hybrid US/Spain engineering team.

Knowledge Graph Data Engineer

Cercle AI

Jul 2022 – Jan 2024

Hybrid

Designed and built ETL pipelines transforming heterogeneous clinical data into a Neo4j knowledge graph modelled with custom reproductive medicine ontologies.
Multivariate analysis with Pandas and Scikit-learn; vector similarity search using KNN and Milvus.
REST API development to serve patient-profile-based results to downstream services.

✦ Key Achievement

Full redesign of the data processing system — from tabular to graph format — achieving 50× performance improvement and eliminating non-determinism.

Neo4jPostgreSQLMSSQLPythonDockerMilvusKubernetesBashVIM

AI Research Intern

Cercle AI

Sep 2020 – Jan 2021

Remote

Developed AI models for embryo image analysis.
Built the first prototype for the company product: embryo selection using AI-powered computer vision.

Technologies & Skills

Python Neo4j LLMs Clinical Data Engineering Apache Airflow Kubernetes Docker PostgreSQL AWS Bedrock OpenAI API Pandas Scikit-learn Flask REST API Vector Databases Milvus SQL Git Bash Streamlit VIM Kanban Prototyping Unit & Integration Testing

Education

B.Sc. in Computer Engineering

University of Murcia

Sep 2018 – Jul 2022

Machine Learning

Saturdays.AI

Jan 2020 – Jul 2020

Projects

notas.clinic

AI-assisted clinical note-taking tool. Built with React JS, Python and JavaScript.

React JSPythonJavaScript

Awards & Publications

2nd Place – AI Agent Competition

Masumi AI Agents Hackathon Berlin 2025

April 2025

Co-author · Scientific Poster · Value in Health

"Real-World Insights on Controlled Ovarian Stimulation for IVF/ICSI: Data from a Large Fertility EMR Database in the US (2010–2024)" · ISPOR 2026, Philadelphia, PA · Vol. 29 S6 · Code HSD44 · Co-authors: Ferring Pharmaceuticals & Cercle AI

May 2026

Languages

English Professional working · 105/120 TOEFL · C1

Spanish Native