About Me
I am a senior engineer with 8+ years of production Ruby on Rails and Python backend development, and more than 3 years of applied AI in production.
I build AI systems that are designed for reliability, observability, and measurable quality, including RAG pipelines, multi-provider LLM orchestration, and agentic workflows.
My recent work includes production retrieval systems with hybrid dense and lexical search, reranking, grounding verification, and knowledge-graph-based retrieval expansion.
I also founded and lead the development of motos.cat, a geospatial social platform with a large schema, live users, and AI agents operating in production.
My background includes regulated life-science R&D and many years evaluating EU R&D&I projects, which has made rigorous documentation, risk assessment, and quality gates a core part of how I work.
I am seeking a senior AI engineering role where production reliability, technical depth, and practical delivery matter.
Skills
PythonSQLJavaScriptDockerLinuxTypeScriptPostgreSQLRedisREST APIsObservabilityRuby on RailsAPI DesignfastAPIPlaywrightPrompt EngineeringMariaDBApacheSidekiqAgentic AIKnowledge GraphsEmbeddingsHotwireN8nStimulusLeaflet.JsHybrid SearchOSRMRAGBM25
Tech Stack & Tools
Data Stores
Languages & Frameworks
Experience
I design and operate production AI systems, including a RAG assistant with curated knowledge, Qdrant, hybrid retrieval, reranking, and multi-provider LLM fallback.
I built the observability layer for latency telemetry, grounding verification, hallucination detection, and admin dashboards for knowledge-gap analysis. This work has driven measurable improvements in search performance and reliability.
I also orchestrate a multi-agent AI development team and lead platform engineering for motos.cat, a geospatial social platform with a large schema, route catalog, and live community.
I evaluated more than 150 proposals across 40 calls, including H2020, Horizon Europe, and EIC Accelerator blended finance.
My work focused on excellence, impact, and risk criteria, requiring rigorous technical assessment and critical review of AI and technology claims.
This experience strengthened my ability to write precise evaluations, assess feasibility, and apply strong quality standards.
I secured FP7 funding and led an 8-partner, 5-country consortium.
The project built an AI-driven autonomous Building Management System using a low-cost audio-sensor network for acoustic occupancy detection.
I coordinated validation in public buildings and managed the technical direction of the project.
I have led European R&D cooperation and SME/research consortia.
My role has centered on collaboration, project coordination, and supporting cross-border innovation initiatives.
I managed corporate portal and knowledge-management projects for clients such as La Caixa and Caixa Sabadell.
I also worked on MetaCampus e-learning initiatives, combining delivery coordination with technical implementation.
I supported ICT reengineering and portal development for organizations including Port de Barcelona and Diputació de Lleida.
I also taught Internet and ICT courses to computer science graduates, which strengthened my communication and mentoring skills.
I led national R&D for phytosanitary products and field efficacy trials for product registration.
This work required regulated research practices, official trial protocols, and careful validation under strict quality requirements.
I supported official phytosanitary efficacy trials and crop health supervision.
This early role gave me hands-on experience in regulated technical work and field validation.
Education
Master’s in Business Management and Administration, Business Management and Administration
Postgraduate business and management studies focused on administration and organizational leadership.
BSc, Agricultural Engineering, Crop Science
Undergraduate engineering studies in agricultural engineering and crop science.
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