</Experience>
My professional journey and featured projects
GIA Robotics
Jul 2026 - PresentWorking on two parallel fronts at GIA Robotics: developing the company's corporate website with Next.js and TypeScript, featuring interactive 3D models and optimized for SEO across both traditional search engines and AI chatbots (ChatGPT, Claude, etc.); and leading G-Atlas, GIA's flagship AI initiative to build the decision-making 'brain' behind robotic welding, combining process engineering, expert welding knowledge, and robotic execution into a single system.
Software Developer & AI Project Lead
- Building the company's corporate website from scratch with Next.js and TypeScript, integrating interactive 3D models.
- Optimizing the site for SEO and discoverability by both traditional search engines (Google) and AI chatbots (ChatGPT, Claude, etc.).
- Leading G-Atlas, an AI system designed to think like a welding process engineer, decide like an expert welder, and execute like a precision robot.
- Defining the project's knowledge architecture, structuring technical and industrial expertise (thin sheet metal, structural components, railway) into rules the AI can use to make manufacturing decisions.
- Developing computer vision pipelines in Python for point cloud-to-CAD matching, enabling the system to recognize and understand parts before deciding how to weld them.
- Working with Intel RealSense cameras and Wenglor laser sensors for 3D sensing and industrial part inspection.
University of Barcelona
Dec 2024 - PresentFull Stack Developer for the BIOST3 research group (Clinical Statistics, Data Science, and Bioinformatics). Specialized in architecting and building complex, highly scalable web platforms end-to-end. Proven experience constructing robust systems with Next.js, Python, and PostgreSQL, integrating advanced AI models (like RAG architectures), and managing the complete software lifecycle through full service dockerization and CI/CD automation.
Full Stack Developer
- Architected and developed full-stack web platforms using Next.js and Python.
- Implemented a RAG system for processing and linking data with scientific literature.
- Led frontend development and engineered backend document chunking and ranking systems, improving information retrieval.
- Migrated a video processing application from a local environment to a scalable AWS cloud architecture, leveraging EC2 instances (g4dn.xlarge with CUDA) for AI model execution.
- Automated cloud processing workflows and deployments by configuring custom AMIs, orchestrated through AWS Lambda, S3, and IAM roles.
- Implemented CI/CD pipelines with GitLab CI and Docker Compose for automated multi-application VPS server deployments.
- Presented and defended software architectures and final products in strategic meetings with prestigious institutions and companies (SequentiaBiotech, VHIO, Harvard University, etc.), adapting technical communication for cross-functional teams.
Software Developer Intern
- Completely overhauled the architecture of a legacy desktop application (PyInstaller), drastically improving codebase maintainability in Python.
- Developed a new native graphical user interface using PyQt5, creating a dynamic pipeline adaptable to varying user requirements.
- Implemented interactive data visualizations with Matplotlib and Pandas for the analysis and extraction of complex physical parameters (viscoelasticity).
- Integrated and optimized advanced Computer Vision models (SAM2 and CoTracker) to increase accuracy within the video tracking and analysis pipeline.
</Stack>
Tools and technologies I master
React
TypeScript
Next.js
Astro
Tailwind
HTML5
CSS3
JavaScript
Angular
</Education>
My academic background and certifications
</Academic Background>
Degree in Web Application Development (Bioinformatics)
Specialized higher technical education in web application development with a focus on bioinformatics. Coursework includes full-stack development, database management, software engineering, and bioinformatics applications. Practical experience with modern web technologies and biological data processing systems.
Final Project
GenomIQ
Grade: 9.6Comprehensive bioinformatics platform combining advanced genomic analysis tools with AI-powered assistance. Features BLAST searches, multiple sequence alignment with WebAssembly, protein structure visualization, functional annotation, and real-time AI chat with streaming responses.
Science and Technology track (in High School)
I completed my secondary education at Estany de la Ricarda, where I specialized in Science and Technology.
Final Project
Artificial Intelligence in the Automotive Industry
Grade: 10Research paper explaining the role of artificial intelligence in the automotive industry. As a practical component, I programmed a fully autonomous miniature vehicle with a distance sensor that avoided obstacles without collisions.
</Certifications>
