Hybrid RAG for corporate documentation
An auditable, end-to-end RAG system: it processes heterogeneous documents, combines BM25 with vector search, reranks evidence and preserves page-level traceability so every answer can be verified.
Artificial Intelligence EngineerSantiago de Compostela · Galicia, Spain
I’m DuarteFernández Piñeiro.
Graduate of ESEI’s first Artificial Intelligence class, passionate about technology and always following its continuous evolution.
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About me
Artificial Intelligence, curiosity and teamwork.
I am part of ESEI’s first graduating class in Artificial Intelligence. I have worked with information retrieval, NLP, computer vision, machine-learning models, agents and LLMs, from experimentation through to the API, interface and deployment.
In a team I am sociable, positive and direct. I find it easy to adapt to different profiles, speak in public and read the room. When a problem appears, I stay calm, separate the urgent from the important and move towards a practical solution.
Read more about meMain projects / 04
Four projects that show how I work.
Each case explains the problem, the solution, the technologies used, how I built it and how I checked the result.
TwinPhoto
A desktop product combining perceptual hashing, an incremental SQLite index, parallel processing and a native Rust bridge to review and safely remove duplicates—even from USB-connected phones.
Bitcoin sentiment analysis
An experimental pipeline for an especially noisy signal: it turns text into semantic embeddings, combines two LightGBM ensembles and translates each classification into an explanation with visible confidence, signals and limitations.
Professional interview assistant
A generative AI assistant designed as a public service rather than an isolated demo: controlled retrieval, NDJSON streaming, sessions, queueing, usage limits and privacy sanitisation in one conversational experience.
Trajectory
Professional education and experience.
AI and Data Analytics Internship
A curricular and extracurricular internship where I applied AI and data analytics to business use cases: RAG systems, document automation, Power BI and the evaluation of efficient alternatives for LLM solutions.
Degree in Artificial Intelligence
Multidisciplinary training as part of the degree’s first graduating class: mathematics, software, data, machine learning, NLP, computer vision, distributed systems, agents and responsible AI.
Degrees and certifications / 03
Education I can evidence.
A concise selection of my university degree, language proficiency and applied technology training.
01University degree
2022—2026
Bachelor’s Degree in Artificial Intelligence
University degree completed as part of the programme’s first graduating class, covering software, data, machine learning, language, vision, agents and distributed systems.
02Language
Certified B1 level
DELF B1 · French
Official certification demonstrating independent French comprehension and communication in everyday situations.
03Applied credential
Issued · August 2026
Microsoft Applied Skills: Develop a Generative AI Chat App Using the Microsoft Foundry SDK
Practical credential focused on developing a generative AI chat application with the Microsoft Foundry SDK.
Technical knowledge
Areas I have worked with.
Smaller academic projects are represented here as knowledge and techniques rather than separate products.
Mathematics and optimisation
A foundation for formulating problems, interpreting data, validating models and optimising objective functions.
Programming and software
Modular and functional programming, data structures, algorithms, testing, quality and software maintenance.
Data and infrastructure
Relational design, SQL and NoSQL, large-scale processing, data flows, containers and cloud infrastructure.
Symbolic AI and agents
Logic, knowledge representation, search, uncertainty, expert systems and coordination between agents.
Machine learning
Data preparation, validation, classification, regression, clustering, reinforcement learning and deep networks.
Language and retrieval
Language processing, text mining, document search, transformers, LLMs, RAG and source-grounded answers.
Vision and interfaces
Signal and image processing, computer vision, sensors, intelligent interaction, IoT and behaviour-based robotics.
Distributed systems
Networks, concurrency, parallelism, distributed systems, hardware acceleration and edge computing.
Responsible AI
Cybersecurity, data protection, bias, ethics, legislation and governance in artificial intelligence systems.
Beyond the code
What is also part of who I am.
Sport, nature and music are part of how I live and maintain balance.
Athletics
I compete in athletics and train regularly. It is the discipline that structures much of my routine.
Ocean and mountain
I cycle, surf and hike: different ways to move, switch off and spend time outdoors.
Music
I completed Elementary Music Studies and pursued five years of Professional Music Studies as a cellist.
Testimonials
What it is like to work and learn with me.
This space collects genuine testimonials from people who have worked, studied or taught with me. Every comment is reviewed before publication.
The first verified testimonials will appear here.
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