PROEDUCA is the leading Spanish-language group in online higher education, with UNIR (Universidad Internacional de La Rioja) as one of its flagship institutions — serving 150,000+ students across 70+ countries.

• Leading the architecture and development of Edux, an AI-powered EdTech platform serving 120K+ users, while leading a team of backend engineers.
• Owning the project end-to-end, coordinating cross-team communication with Frontend, Architecture and Infrastructure teams across the full development lifecycle.
• Designing and operating mission-critical distributed systems for tens of thousands of concurrent users, standing up full monitoring/alerting and a complete CI pipeline in 6 months.
• Building scalable AI content generation pipelines for exercises, podcasts, summaries and personalized learning materials.
• Integrating with the university’s CMS via RabbitMQ messaging and migrating thousands of courses and assets from a legacy platform with zero downtime.
• Stack: FastAPI, SQL Server, Redis, RabbitMQ, Elasticsearch (vector DB), LiteLLM, Logstash, New Relic, Azure.

Dcycle is a fast-growing B2B SaaS scale-up that helps companies measure, manage and reduce their environmental impact through data-driven sustainability solutions, automating ESG reporting, carbon footprint calculations and regulatory compliance.

• Led backend development for a product team, owning architecture and delivery of critical platform modules.
• Drove the redesign and migration of the application’s calculation engine into a regulation-driven, fault-tolerant architecture supporting multiple sustainability methodologies and dynamic recalculations.
• Built and maintained REST APIs and cloud-native services on AWS, automating infrastructure with AWS CDK (IaC).
• Partnered with Product Managers and cross-functional teams (Data, Frontend, Design, Customer Success) across the full product lifecycle.
• Architected relational database schemas ensuring data integrity, performance and reliable migrations.
• Stack: Python, FastAPI, SQLAlchemy, Alembic, PostgreSQL, AWS Lambda, API Gateway, Cognito, S3, DynamoDB, RDS, AWS CDK, Docker.

QUANT AI Lab is a fintech providing AI-driven financial risk and analytics solutions for banks, spanning risk management, portfolio optimization and quantitative analysis.

• Contributed to the migration of the Asset and Liability Management (ALM) tool from a legacy Java stack to Spring Boot, progressively evolving it into a FastAPI-based REST API architecture — one of the company’s most critical technical migrations.
• Designed API contracts and data structures in close coordination with the frontend team.
• Optimized calculation processes, reducing execution times by 30%.
• Pioneered client discovery practices and automated manual workflows, cutting completion time by 60% on certain tasks.
• Stack: Python, FastAPI, SQL, Java, Spring Boot.

T4S Advance (a VASS company) is a Spanish SAP consulting firm specializing in complex, technology-driven projects across AI, IoT, cloud and robotics, delivering solutions for VASS’s portfolio companies.

• Developed Artificial Intelligence (mostly early-stage LLMs), Machine Learning and Deep Learning projects for VASS portfolio companies, aimed at automating and streamlining their processes.
• Applied ML models and data pipelines in real-world business contexts, before LLMs became mainstream technology.
• Stack: Python, Jupyter Notebooks, NumPy, TensorFlow, LangChain, Keras.