Responsabilities

• Lead Frond-End Developer shaping the QMENTA product
• Developing Continuous Deployment and Integration pipelines and systems for the apps + Testing
• Development of Virtual Reality (VR) based neuroimaging interaction tools and apps
• Neuroimaging web-based visualizers using Javascript/Node.JS/Three.JS for neuroimaging data (DICOM / NIFTI / Fibers) or connectomics (Chord diagrams, matrices etc)

Technologies

• Front-End: React 16.7 (Suspense/Lazy API, Context API, React Hooks), Typescript, Redux/Redux-Zero, React Router, Post-CSS (Sass), Styled Components, Parcel, Webpack, GatsbyJS...
• CI/CD: Jenkins pipelines, Docker, Docker Compose, Kubernetes
• Testing: Jest + Puppeteer (Legacy E2E), Cypress (Current E2E), Jest + Enzyme (Unit), PyTest
• Virtual Reality: Unity Engine, Oculus Rift, C#
• Git (Bitbucket), JIRA for issue tracking, Confluence
• Methodologies: Git flow for branching, Agile/Scrum for developing

Accomplishments

• Lead developer of the QMENTA Platform Front-End and NICTS (Neuro Imaging Clinical Trial Suite)
• Implemented a CD/CI system for the Front-End products of QMENTA + Testing
• Published a novel Virtual Reality application for visualizing neuroimaging data, available on the Oculus Rift Store
• Wrote 2 articles on Medium/Dev.to about the technologies used for the Front-End and Dealing with Asynchrony on e2e tests

Responsabilities

• Lead Developer on the SimBioSys group on two native applications for helping doctors on the surgery planning of fetal and brain diseases
• The applications were supervised and tested by the medical staff of La Maternitat Hospital and IDIBAPS group
• Integrating Augmented Reality solutions for surgery planning into the applications
• Developing minimal Continuous Deployment and Integration pipelines and systems for the apps
• Performing accuracy tests, reports and statistics/plots of the system for scientific purposes

Technologies

• Native Application: Qt Framework, C++, MITK (Medical Interaction ToolKit), ITK, VTK, OpenCV, ArUco (AR), SOFA (Modeling and Physics)
• CI/CD: Jenkins pipelines for continuous deploying, Docker
• Testing: QTest (Unit testing Framework for Qt)
• Git (Bitbucket) for version control
• Documentation and accuracy tests: LaTeX, Python (statistics, Bland Altman plots)

Accomplishments

• Lead developer of an application that helps doctors come to a better diagnosis on Twin-to-Twin Transfussion Syndrome
• Delivered a functional prototype at IDIBAPS meeting the goals of the project
• Presented a poster at the CARS (Computer Assisted Radiology and Surgery) conference about Deep Brain Stimulation

Responsabilities

• Developing a Virtual Reality application on visualisation of 3D moving cardiac sequences to help with the surgery planning of the Hypoplastic Left Heart Syndrome condition on children, together with the Evelina London Hospital of Children.
• Continous feedback and testing of the application by the cardiologists on the hospital.
• Being involved in all the phases of the application, from design to implementation to algorithms of processing to integration with a VR environment to documentation

Technologies

• Application: Unity Engine with ZSpace, C#, Javascript
• Documentation: LaTeX
• Version control: Git (Github)

Accomplishments

• Developed a fully functional prototype for Hypoplastic Left Heart Syndrome surgery planning delivered on time
• With this prototype, we managed to secure a grant on 2016, of the NHS (National Health Institute), for continuing the project up to 2 years
• Wrote my Bachelor's thesis on the results of the project and received major distinction and honors for it

Specialization

• Algorithm programming in Python
• Application programming and Computer Graphics for Medical Data

Courses

• Courses on Machine Learning, Complexity Science, Advanced Signal Analysis, Surgery Planning
• Academic Seminars on Machine Learning on Medicine and other topics organized by BCN MedTech
• Python and MATLAB Programming for Biomedical sciences

Specialization

• Artificial Intelligence and algorithm programming in C, ProLog
• Computer Graphics using Javascript / Three.JS
• Virtual/Augmented Reality project using Unity3D and Vuforia + Google Cardboard

Courses

• Courses on Artificial Intelligence, Computer Graphics
• A project on VR/AR using Unity3D, structured with Git

Specialization

• Image Processing and Machine Learning
• Sound and Signal Processing
• Developing Full Stack applications

Courses

• Computer Sciences Courses on Fundamentals
• Sound and Image Processing courses, with emphasis on Machine Learning
• Fundamental Courses on Mathemathics and Physics