Open to opportunities

Jose Emilio Maldonado Rodríguez

@joseemiliomaldonador

Message

ML Engineer specializing in NLP & LLMs, delivering low-latency models and production-ready NLP systems.

Spain

Message

What I'm looking for

I’m looking for roles where I can build low-latency NLP/LLM solutions, ship production ML via MLOps (Docker, CI/CD), and collaborate with researchers to deliver measurable performance on real-world data.

I’m a Machine Learning Engineer specialized in NLP & LLMs, focused on turning research ideas into production systems. In my current role, I’ve provided consultancy on ML architecture feasibility under strict latency constraints and prototyped models that reduced latency by 90% while improving accuracy.

I also extend internal tooling for privacy-preserving training, enabling model training via “quantum-inspired homomorphic encryption” in untrusted compute environments. Previously, I improved translation performance for a low-resource language (Galician), integrated an NMT engine into a real-time production MT service via REST APIs, and set up CI/CD with GitHub Actions and Docker—backed by SemEval 2025 work on multilingual hallucination detection using XLM-RoBERTa.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Multiverse Computing

Jan 2026 - Present (5 months)

Consulted on ML architecture feasibility under strict latency constraints, prototyping models that reduced latency by 90% while improving accuracy. Extended an internal library for quantum-inspired homomorphic encryption, enabling model training on sensitive data in untrusted compute environments, and advanced a predictive maintenance platform with iterative feature improvements.

Machine Learning Architecture Prototyping Homomorphic Encryption Predictive Maintenance Feature Engineering

NLP Engineer Intern

Imaxin Software

Mar 2025 - May 2025 (2 months)

Improved translation performance for a proprietary NMT system in a low-resource language (Galician). Integrated the NMT engine into a production real-time translation service via REST APIs and implemented a CI/CD deployment pipeline using GitHub Actions and Docker.

Low Resource Machine Translation Real Time Translation REST APIs CI CD GitHub Actions Docker

Education

Degrees, certifications, and relevant coursework

University of Groningen

Research Masters in Linguistics, Linguistics

2023 - 2025

Research Masters in Linguistics as part of the Erasmus Mundus Master in Language and Communication Technologies from 2023 to 2025.

Charles University

MSc, Computer Science — Language Technologies

2023 - 2025

Activities and societies: SemEval 2025 paper: multilingual detection of hallucinations and overgeneration mistakes using XLM-RoBERTa; transformer-based system achieved top-10 in 8/14 evaluated languages.

MSc in Computer Science — Language Technologies as part of the Erasmus Mundus Master in Language and Communication Technologies from 2023 to 2025.