Available to hire
I’m a machine learning researcher and engineer with 7+ years of experience in computer vision, deep learning, and production ML systems. I enjoy turning research advances into scalable, real-world products and solving complex problems with robust, engineering-driven solutions.
I’m open to AI Research Engineer and AI Engineer roles in Switzerland, and I enjoy cross-functional collaboration, designing distributed training pipelines, and building effective MLOps infrastructure to accelerate impact.
Skills
Language
English
Fluent
German
Fluent
Spanish; Castilian
Fluent
Catalan; Valencian
Fluent
French
Beginner
Work Experience
Senior AI Research Engineer at Rithum
May 1, 2025 - PresentLed development of the company's ML-based GMV forecasting tool using NHITS for long-horizon forecasting; spearheaded the transition to the Databricks Data Intelligence Platform with schemas and pipelines for 200M+ data points, reducing processing time by 10x. Implemented an LLM-based agentic system for product listing improvement and developed a Peer Benchmarking tool with data visualization for global brand competition.
Machine Learning Research Engineer at Veriff
January 1, 2022 - January 1, 2025Led development and deployment of a Face Liveness Detection model with >98% recall and >99% precision, handling >1M daily verifications. Reduced model hosting expenses by 90% and halved model development time through a new fraud-detection framework. Led development of a foundational self-supervised transformer model and implemented a distributed training and experimentation platform on AWS for large-scale datasets.
Lecturer and Academic Author at Universitat Oberta de Catalunya
February 1, 2021 - September 1, 2025Main lecturer for Privacy and Security (BSc Data Science) and Biometrics (MSc Cybersecurity); created original course material on adversarial attacks on ML models.
Machine Learning Researcher at Eurecat - Technology Centre of Catalonia
September 1, 2018 - January 1, 2022Developed and deployed a PoC neural-network-based biometric authentication system using wearable data for 100+ users; designed an immune-system-inspired distributed ML anomaly detection model for smart IoT appliances; built a deep autoencoder-based anomaly detection tool for Honeypots; acted as technical advisor and writer for EU Horizon Europe project proposals.
Education
MSc Advanced Mathematics and Mathematical Engineering at Universitat Politècnica de Catalunya
January 1, 2018 - January 1, 2019BSc Mathematics at Universitat Politècnica de Catalunya
January 1, 2014 - January 1, 2018Qualifications
Industry Experience
Software & Internet, Education, Professional Services, Media & Entertainment
Skills
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