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Íñigo FernándezIF
Open to opportunities

Íñigo Fernández

@igofernndez

I build reliable data, AI, and ERP systems that improve automation, quality, and operational scale.

Spain
Message

I've built data-heavy AI and software systems at Orisha Commerce and Veridas, combining Python, SQL, machine learning, and scalable engineering.

At Orisha Commerce, I developed REST APIs connecting an ERP to external e-commerce systems supporting more than 3,500 POS terminals. I also reduced production-reported errors in a critical Openbravo ERP module by nearly 50% through unit and integration testing and structured debugging.

I validated an ERP query-automation proof of concept that exceeded 80% accuracy by fine-tuning hybrid LLM-based models with LoRA and monitoring production performance. At Veridas, I processed more than 500,000 files for training data and improved OCR effectiveness by 12% through AI models and image enhancement.

My background includes an MSc in Data Science and Machine Learning, computer vision research, distributed systems, and communicating technical work clearly to non-technical audiences.

Experience

Work history, roles, and key accomplishments

OC

Full-Stack Software Developer

Orisha Commerce

Sep 2023 - Mar 2026 (2 years 6 months)

Validated a Proof of Concept reaching over 80% accuracy in ERP query automation by fine-tuning hybrid LLM-based models with LoRA. Cut production-reported errors in a critical Openbravo ERP module by nearly 50% by implementing a unit and integration testing framework.

VS

Research Intern

Veridas Digital Authentication Solutions

Jul 2021 - Jun 2022 (11 months)

Processed more than 500,000 files through large-scale dataset cleaning scripts and inference over video files. Improved OCR system effectiveness by 12% by researching and implementing AI models and image enhancement techniques.

Education

Degrees, certifications, and relevant coursework

University of La Rioja logoUR

University of La Rioja

Master's Degree, Data Science and Machine Learning

2022 - 2023

Master's Degree in Data Science and Machine Learning. Benchmarked 11 vision and structured-data models to detect breast cancer from mammography, reaching an F1 score of 0.68 despite a 98/2% class imbalance.

Public University of Navarre logoPN

Public University of Navarre

Bachelor's Degree, Computer Engineering

2017 - 2022

Bachelor's Degree in Computer Engineering with a specialization in Computing and AI. Optimized Tesseract engine configuration and designed a synthetic dataset of official-document fields, cutting OCR reading error rate by 36%.

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