Computer Engineer — Information Technologies
Software Quality Assurance in Banking & Insurance · Applied AI and business integration since GPT-3 (2020)
I connect software quality, engineering and responsible AI adoption to turn emerging technology into reliable products and measurable business value.
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QA strategy, functional, backend and API validation, hybrid manual/automated testing, defect management and continuous improvement in complex, regulated environments. |
Hands-on work with generative, agentic and multimodal AI since 2020: local models, vision, speech, evaluation and privacy-first inference. |
Bancassurance specialization, participation in the Quality Services innovation and AI adoption committee, and practical integration of AI into delivery and consulting models. |
Current role: Software Quality Assurance · Senior QA Specialist at NTT DATA · Banking & Insurance
Innovation: contributor to the Innovation & AI Adoption Committee in Quality Services
Engineering background: Computer Engineering, Information Technologies track · Universitat Oberta de Catalunya (UOC)
AI journey: started with GPT-3 in 2020 and evolved towards generative, agentic, local and product-oriented AI
Knowledge enablement: employee training in practical generative and agentic AI adoption during 2026
International environment: current project delivered in English · ongoing French immersion at home
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Computer Engineering final degree project (UOC, 2024/25) focused on centralizing everyday QA workflows in a controlled web environment. The prototype combines role-based access, test-data generation for Spanish identifiers and IBANs, realistic address generation, visual text comparison with PDF export, date calculations, employee administration and configurable tools.
Modernization direction: PHP 8, hardened authentication and sessions, CSRF protection, automated API/security tests, CI and containerized delivery. It is a practical bridge between my academic foundation and my current QA and AI-integration work. |
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Local multimodal assistant for Windows and Raspberry Pi 5: vision, gestures, wake words, Whisper, Piper and Gemma through Ollama.
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Privacy-first Android photo restoration with BSRGAN/NCNN, context-aware cropping, measurable quality gates and optional local Stable Diffusion for image-to-image and prompt generation.
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Android Wi-Fi diagnostics with live network metrics, speed testing and ARCore-tagged measurements over real surfaces.
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Android mobility app for nearby fuel stations and EV charging points, with maps, intelligent cache and Android Auto foundations.
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Multilingual Android discovery experience for films and series in Spain, combining catalogue data, provider availability and AI summaries.
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Portable Windows application for controlled media workflows across websites, local storage and Telegram channels.
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My public repositories show both current product work and the foundations behind it:
- Current products: local and on-device AI, Android applications, computer vision, networking, mobility and automation.
- Quality mindset: acceptance criteria, measurable quality gates, reproducible builds, local-first privacy, model checksums, fallback paths and non-commercial licensing.
- Foundations: procedural programming in C, object-oriented design in Java and statistical analysis in R.
Explore the complete public learning and engineering archive
C · Fundamentals and programming practices
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C · Programming projects
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Java · Object-oriented design
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JAVA_DPOO_PR2
R · Statistics
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Curated reference fork
Chuletas · command and development reference material.
- ISTQB Certified Tester Foundation Level
- CCNA: Enterprise Networking, Security and Automation
- Postman API Fundamentals Student Expert
- GenAI Academy: Yellow Belt Level 1
- Responsive Web Design
- English B2 · current international project delivered in English
- French · ongoing home-immersion environment
- Currently preparing: ISTQB Certified Tester AI Testing (CT-AI)
- Current focus: AI-enhanced QA, trustworthy automation, local multimodal systems and quality assurance for banking and insurance.
Interested in quality engineering, responsible AI adoption or product-focused experimentation?
Engineering with quality · AI with purpose · Innovation with accountability