pauarandia

about me

Hi! I'm Pau — a biomedical engineer turned software & AI developer. I build products where healthcare, chemistry and data meet: machine-learning models, computer-vision systems, generative-AI tools, and the full-stack software that turns them into something people actually use.

  • </> software
  • ✦ AI/ML
  • ♥ biomedical engineering
  • ▦ project management
  • locationBarcelona, Spain
  • coding sinceAge 16 · C++ first
  • current focusAI for specialty chemicals & fragrance

origin story

I started coding at 16, teaching myself C++ to build my own projects — then fell for Python and never really stopped. By my first year of university I was already teaching programming basics to other students.

Biomedical engineering gave that curiosity a purpose: data, machine learning and medical imaging — work that can end up mattering to someone's health. My bachelor thesis with Sant Joan de Déu Hospital used machine learning on brain-imaging data to study mental and neurological health; it graduated with honours and made it to an international conference.

Since then I've shipped AI and software across research centres and startups — from European health projects to molecular data in the fragrance industry. Different domains, same thread: turning messy real-world data into products people rely on.

values

  • purpose-drivenI build things that translate into real impact — technology that reaches actual patients, researchers and industries.
  • rigor & detailFrom ISO 62304 medical-device software to reproducible ML pipelines: correctness isn't optional.
  • team playerEuropean consortiums, cross-functional teams, client-facing work — I like building with people, not just for them.
  • always learningFrom C++ at 16 to molecular data today — plus four human languages and counting.

my journey

work + study · newest first

  1. Founding Engineer

    MAFER AI · Barcelona

    ↗

    Feb 2026 — present

    Software Developer & Forward-Deployed Engineer

    Building client-facing AI and software products for the specialty chemicals and fragrance industry — GC-MS aroma-prediction systems, regulatory-intelligence tooling — combining business context with full-stack product work, from the data to the interface.

    • Full-stack
    • AI/ML
    • GC-MS
    • Product

  2. Research Assistant — Medical Imaging

    KTH Royal Institute of Technology · Stockholm

    ↗

    Sep 2024 — Dec 2024

    EIT Health BEHealSy fellowship

    A three-month research stay awarded through the EIT Health BEHealSy fellowship. Researched the spatiotemporal reconstruction of gated PET/CT lung data with a U-Net architecture using backprojection-induced skip connections, for better feature propagation and spatial resolution.

    • Deep learning
    • PET/CT
    • U-Net
    • Research

  3. Software & AI Developer · Project Manager

    Leitat Technological Center · Barcelona

    ↗

    Oct 2023 — Jan 2026

    promoted from Business Development

    Led international AI projects for the healthcare industry end-to-end — planning, execution and delivery, the Agile way. Built classification and regression models with serious preprocessing behind them, generative-AI tools and chatbots on LangChain, and YOLO-based computer vision; deployed to Azure and AWS. Wearing the other hat: H2020 / Horizon Europe and national proposals, budgets and partner coordination, and ISO 62304 compliance for medical-device software.

    • Python
    • LangChain
    • YOLO
    • Azure
    • AWS
    • ISO 62304

  4. Business Development Manager

    Leitat Technological Center · Barcelona

    ↗

    Mar 2023 — Sep 2023

    International Health Projects

    Prepared and managed proposals across European funding programmes, coordinating multi-partner consortiums and writing state-of-the-art reports. Out and about too: MWC, Advanced Factories, Expoquimia and SIL — networking and opportunity-scouting.

    • EU funding
    • Consortiums
    • Strategy

  5. Biomedical Engineer — R&D

    Quantium Medical (Fresenius Kabi) · Mataró

    ↗

    Nov 2022 — Mar 2023

    R&D on innovative non-invasive patient-monitoring solutions for surgical interventions: GUI design, electronic-component research and device communication over UART, I²C and Bluetooth.

    • Medical devices
    • GUI
    • UART / I²C / BT

  6. BSc in Biomedical Engineering

    Universitat Politècnica de Catalunya · Barcelona

    ↗

    Sep 2019 — Sep 2023

    educationgraduated with honours

    Thesis in partnership with Sant Joan de Déu Hospital: “Brain morphometry associated with protective and risk factors of mental and neurological health — an artificial intelligence approach”, applying machine learning to brain-imaging data. The findings were presented at the 18th Multi Conference on Computer Science and Information Systems (MCCSIS, 2024).

    • Machine learning
    • Neuroimaging
    • MCCSIS 2024

toolbox

languages & ML

  • Python (3+ yrs)
  • MATLAB
  • R
  • TensorFlow
  • PyTorch
  • scikit-learn
  • LangChain & LLM tooling

data

  • Statistical analysis
  • Data visualization
  • Biomedical & industrial datasets
  • Advanced Excel / VBA
  • CVAT
  • LabelMe

platforms & tooling

  • Docker
  • Kubernetes
  • Azure
  • AWS
  • Git (GitHub / GitLab)
  • API integration
  • Agile

languages

  • Spanishnative
  • EnglishC2 · Cambridge
  • FrenchB1 · DELF
  • GermanA1 · in progress

certifications

  • Deep Learning Specializationdeeplearning.ai
  • Introduction to Git and GitHubGoogle Career Certificates

Lately I find myself drawn to the science underneath the software — the physics and chemistry behind the data I model. Expect more research around here over time.

see what I buildget in touch