Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m Alonso Madroñal, a data scientist and NLP researcher based in Madrid. I’m passionate about building end-to-end AI systems that bridge research and production, applying AI and LLMs to cultural-linguistic analysis and real-world problems. I enjoy collaborating across teams to turn ideas into scalable, reliable solutions. Recently I published in EMNLP 2025 and have hands-on experience delivering hybrid NLP applications, optimizing deployments across on-premises and cloud environments, and enhancing model outputs with prompt engineering. I thrive in fast-paced settings and love tackling challenging data problems with curiosity and teamwork.…I’m Alonso Madroñal, a data scientist and NLP researcher based in Madrid. I’m passionate about building end-to-end AI systems that bridge research and production, applying AI and LLMs to cultural-linguistic analysis and real-world problems. I enjoy collaborating across teams to turn ideas into scalable, reliable solutions. Recently I published in EMNLP 2025 and have hands-on experience delivering hybrid NLP applications, optimizing deployments across on-premises and cloud environments, and enhancing model outputs with prompt engineering. I thrive in fast-paced settings and love tackling challenging data problems with curiosity and teamwork.

Alonso Madroñal

Data Scientist, AI Engineer, Full Stack Developer, +2





I’m Alonso Madroñal, a data scientist and NLP researcher based in Madrid. I’m passionate about building end-to-end AI systems that bridge research and production, applying AI and LLMs to cultural-linguistic analysis and real-world problems. I enjoy collaborating across teams to turn ideas into scalable, reliable solutions. Recently I published in EMNLP 2025 and have hands-on experience delivering hybrid NLP applications, optimizing deployments across on-premises and cloud environments, and enhancing model outputs with prompt engineering. I thrive in fast-paced settings and love tackling challenging data problems with curiosity and teamwork.…I’m Alonso Madroñal, a data scientist and NLP researcher based in Madrid. I’m passionate about building end-to-end AI systems that bridge research and production, applying AI and LLMs to cultural-linguistic analysis and real-world problems. I enjoy collaborating across teams to turn ideas into scalable, reliable solutions. Recently I published in EMNLP 2025 and have hands-on experience delivering hybrid NLP applications, optimizing deployments across on-premises and cloud environments, and enhancing model outputs with prompt engineering. I thrive in fast-paced settings and love tackling challenging data problems with curiosity and teamwork.

Available to hire

I’m Alonso Madroñal, a data scientist and NLP researcher based in Madrid. I’m passionate about building end-to-end AI systems that bridge research and production, applying AI and LLMs to cultural-linguistic analysis and real-world problems. I enjoy collaborating across teams to turn ideas into scalable, reliable solutions.

Recently I published in EMNLP 2025 and have hands-on experience delivering hybrid NLP applications, optimizing deployments across on-premises and cloud environments, and enhancing model outputs with prompt engineering. I thrive in fast-paced settings and love tackling challenging data problems with curiosity and teamwork.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Fluent

Italian

Advanced

Work Experience

NLP Research Assistant at Universidad Carlos III de Madrid

September 1, 2025 - October 26, 2025

Published author at EMNLP 2025 in NLP, AI and LLM research applied to cultural-linguistic analysis. Developed and enhanced an end-to-end NLP hybrid application for contradiction detection combining AI and LLMs. Enhanced LLM results with Prompt Engineering. Optimized deployment efficiency in on-premises and cloud environments, ensured CI/CD and simple deployments with Docker and Git. Developed algorithms for better searches in Vector Databases, improving performance of our RAG system.

Business Analyst Intern at Amazon Transportation Systems

September 1, 2024 - October 26, 2025

Designed 3 data ingestion pipelines with AWS Athena & SQL processing (+10GB daily). Designed dashboards with AWS QuickSight to display business critical KPI’s and generate automatic reports, reducing by 50% our time benchmark. Created a cloud data pool (+25M rows) to act as a unified source of truth for the +5 teams in the business. Optimized performance of existing SQL queries improving maintainability and reducing on average 30% execution times. Worked with intermodal, cross-teams in finance, data science, software & architecture to deliver key results to stakeholders.