I'm Íñigo Fernández Barrill, a software engineer from Pamplona, Spain, specialized in AI / Machine Learning and Full Stack development.
- 💼 I worked as a Full Stack Software Developer at Orisha Commerce (Openbravo), Mutilva (Navarra), from September 2023 to March 2026:
- Validated a three-agent LLM PoC fine-tuned with LoRA (customer interaction, database queries, RAG over POS docs); the discount and customer-interaction models went into production, with over 80% of interactions returning the expected result.
- Designed and built REST APIs integrating the Openbravo ERP with external e-commerce platforms, serving 3,500+ POS terminals.
- Cut production-reported errors in a critical ERP module by ~50% by introducing a unit/integration testing framework.
- 🔬 Before that, I was a research intern at Veridas Digital Authentication Solutions (Noáin, Navarra), across two periods between 2021 and 2022: improved OCR effectiveness by 12%, cut image-analysis processing time by 85%+ by automating manual processes, and turned 500,000+ files into high-quality training data.
- 🎓 Master's Degree in Data Science and Machine Learning — University of La Rioja (2022–2023). My thesis applied Multi-Task Learning to breast cancer detection in mammographies (F1 0.68 with only ~2% positive cases) →
CancerDetection. - 🎓 Computer Engineering Degree, specialization in Computing/AI — Public University of Navarre (2017–2022).
- 🌍 Spanish (native) · English (C1) · French (B1).
- 🚀 Currently looking for opportunities as a GenAI, Machine Learning, Data Science or Backend (Python) Engineer. Available immediately · Pamplona, Spain (CET) · open to remote. If you have something that could be a fit, let's talk!
AI / ML: PyTorch · FastAI · Timm · scikit-learn · Pandas · NumPy LLMs / GenAI: LoRA / QLoRA · Unsloth · vLLM · llama.cpp · Ollama · LangGraph · LangChain · LlamaIndex · RAG · MCP · Hugging Face · MLflow Backend / Full Stack: Python · Java · Node.js · FastAPI · Flask · JavaScript / TypeScript · HTML / CSS · React · Next.js · Expo / React Native Data & infrastructure: PostgreSQL · MySQL · MongoDB · SQLite · DuckDB · LanceDB · Docker · Git · GitHub Actions · Jenkins · Playwright / Scrapling
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| Project | What it is | Stack |
|---|---|---|
| jobradar | Self-hosted job radar: searches job boards, scores every opening against your CV and writes a tailored one-page CV for each one, verified so nothing is invented. Restricted boards (LinkedIn, InfoJobs, Tecnoempleo, Indeed) are opt-in and read through a real browser. 470+ tests and CI; on PyPI as jobradar-cv. |
Python · FastAPI · SQLite · LLMs (Gemini, Anthropic, OpenAI, Ollama) · MCP · Playwright · Scrapling · Docker · GitHub Actions |
| navarra-trip-agent | Agent that plans multi-day trips around Navarre from the Government of Navarre's open data: a day-by-day plan with real travel times, a map, lodging and restaurants from the official tourism registry, and the source of every place. Ships its own MCP server and is evaluated on 87 requests in Spanish, English, French and Basque with code validators and a calibrated LLM judge, using a 7B model running locally (100% real places, 100% constraints met). Live demo. | Python · LangGraph · Ollama (Qwen2.5) · MCP · DuckDB · LanceDB · OSRM · FastAPI · Next.js · TypeScript · MapLibre · Docker |
| boe-extractor | Turns documents from the BOE (Spain's official gazette) into schema-validated JSON with Qwen2.5-1.5B fine-tuned with QLoRA. Quantized to 4 bits, it runs on CPU and performs on par with the paid API model it learned from (F1 0.92 vs 0.91 for Gemini Flash-Lite on hand-annotated documents; base model 0.66, rule-based baseline 0.85), and cuts hallucinations from 12% to about 1%. Evaluated on 262 reviewed documents, tracked in MLflow. A daily GitHub Actions job publishes the day's public-sector jobs, grants and tenders on a web page. Model and dataset on Hugging Face. | Python · Unsloth · QLoRA · vLLM · llama.cpp (GGUF) · Pydantic · MLflow · FastAPI · GitHub Actions · Hugging Face |
| gym-coach | Offline mobile app (Android and iOS) to log gym training: routines with schedules and reminders, progress charts, technique cards with a muscle map and level per muscle group. 56 exercises with 179 variants and custom illustrations. GitHub Actions builds the Android APK and publishes it as a release. | TypeScript · Expo · React Native · expo-router · SQLite · Drizzle ORM · Jest · GitHub Actions |
| CancerDetection | Master's thesis: Multi-Task Learning for Breast Cancer Detection in Mammographies. Compares image models (ResNet, EfficientNet, ConvNeXt, HRNet, DeiT), classical tabular models and two Multi-Task Learning architectures on the RSNA Screening Mammography (Kaggle) dataset; best F1 0.68 with only ~2% positive cases, through rebalancing and feature fusion. | PyTorch · FastAI · Timm · scikit-learn |
Live counts:
Thanks for stopping by 🙂 — let's connect on LinkedIn