Senior Software Engineer

Sematell provides infrastructure for customer support, managing incoming messages through a ticket system.

Here, I actively contribute to system architecture, develop internal services, engage in pair programming, and introduce new libraries, technologies, and solutions.

Senior Software Engineer

Rockspoon is a POS solution for restaurants, offering an all-in-one platform for small businesses in California.

At Rockspoon, I contributed to the Search, Marketplace, and Analytics teams.
We used Go with MongoDB across the entire backend.
My main role involved architecting and implementing web service features, leveraging MongoDB features like change streams, aggregation pipelines, and time-series collections.

I worked mentoring junior developers, developing features across multiple teams, like Catalog, Ordering, Analytics and HR, and ensuring product functionality and efficiency using distributed telemetry.

Front-end Developer

Fluxonaut is a software platform for investors and journalists, designed to deliver real-time, digestible information.

At Fluxonaut, I was responsible for developing UI components and data processing logic on the frontend.
I learned C# and the WPF framework to present real-time information to investors.
Challenged by a different paradigm, where your code is not sandboxed into a very controlled environment, I had to develop long-running windows applications.
I refactored legacy code, introduced better maintainability thorugh automated tests, deployment and linter configurations. Optimized and reduced memory footprint by 30%.
Streamlined the deployment of the certificate signed installation bundle for the application on github actions.

Full Stack Developer

Raccoon is a digital marketing agency founded by former Googlers, offering SEO optimization, business intelligence, and engineering services.

At Raccoon, I learned Python, Go, Containerization, and Kubernetes.
Raccoon offered a really professional and well structured Micro-Services oriented environment, with a fully managed cluster, where I could learn the best practices from.
I joined a video rendering project from day one, focused on ad segmentation. Using the YouTube API and Google Ads, we generated customized ads for different audiences.
We built a lightweight frontend, API, and worker system connected via pub/sub to render thousands of videos in parallel on Google Cloud.
We also developed a robust observability stack using Prometheus and Grafana.