Miguel Madrid-Mencía

Hybrid: US, France

Applied ML Systems. Technology services through cloud, data, AI, and platforms. (Acquired from Qarik Group Jan 2025 — role and scope were continuous across the acquisition.)

• Architected a multi-agent AI orchestration system on GCP for a pharma R&D client, applying genomics domain knowledge to shape agent design.
• Developed GCP Agents and A2A orchestration via MCP/ADK for pharma and biotech clients.
• Built an automated data pipeline migration tool with an internal developer API for healthcare and precision medicine workloads on GCP.
• Built a Twilio-based testing framework to automatically generate all mood and user behavior call combinations for a Voice AI system, replacing manual script configuration.
• Hardened CI/CD pipelines, code quality gates, and security standards for a US financial client — catching production issues earlier and reducing error-prone contributions across the team.

Hybrid: US, France

GCP-focused cloud consultancy. Acquired by Egen.ai in Jan 2025; role and projects were continuous across the acquisition.

• Delivered an API for data ingestion into BigQuery, deployed on GCP with Terraform and Concourse, for a US biotech client.

Hybrid: UK, France

Genetic analysis technologies: personalized medicine, disease research, drug development.

• Evaluated privacy-preserving data sharing solutions to reduce friction from restrictive genomic data policies.
• Built machine learning pipelines on Illumina Connected Analytics (ICA), HPC, and AWS.
• Designed and optimized Snowflake-based data models for genomics and GWAS pipelines.
• Co-authored a pending patent in applied bioinformatics and genomic data processing.

Hybrid: Toulouse, France

Translational cancer research center in Toulouse, focused on oncology and systems biology.

• Designed reproducible ML pipelines for multi-omics analysis of pancreatic and lung cancer, scaled across cancer types.
• 1 first-author and 6 co-authored peer-reviewed publications with 127+ citations in oncology and systems biology.
• Built GARDEN-NET, a web tool for 3D chromatin interaction analysis, still in active use — published in Nucleic Acids Research.

Barcelona, Spain

European HPC center hosting the MareNostrum supercomputer.

• Developed a platform for AQuAS to analyze health outcomes and quality indicators through an interactive geospatial map.
• Built the OpenEBench embeddable benchmarking widget (sole author) — a d3.js radial arc widget used by scientific tools across the ELIXIR European benchmarking platform.
• Primary contributor (79 of 110 commits) to the OpenEBench submission infrastructure — Docker sample containers, Nextflow pipeline generator, Vagrant multi-service VM, and SFTP submission service.

Madrid, Spain

Spain's national cancer research institute, focused on molecular oncology.

• Developed a reproducible workflow to identify mutation clusters in protein structures, including web-based visualization.
• Contributed to the European OpenMinTeD NLP/text-mining project, developing services and APIs for biomedical text analysis.

Instituto de Salud Carlos III

Master's Thesis: Structure-PPi v2.0: Module for Annotating Cancer-Related Single-Nucleotide Variants at Protein-Protein Interfaces.

Universidad Complutense de Madrid

Bachelor's Thesis: Computer Vision Adapted to Optical Coherence Tomographies.

Guest Lecturer · Instituto de Salud Carlos III

Designed and delivered a 15-hour intensive module on biomedical text mining and NLP for the Master in Bioinformatics and Computational Biology (Madrid).

• Large-scale literature extraction from PubMed and PMC via the NCBI Entrez API (BioPython, ESearch, EFetch).
• NLP pipelines in Python/NLTK: tokenization, POS tagging, n-grams, inverted indexing, lemmatization, and stemming — adapted for bioinformaticians with varied programming backgrounds.