• Developed a new format for managing JS bundles and co-designed a novel indexing mechanism for scalable stack trace symbolication.
• Designed and implemented version 2 of our dynamic sampling system, which optimized the sampling of billions of daily events through a set of interdependent smart heuristics.
• Reengineered an internal system for implementing sampling heuristics, aiming to facilitate the addition of new heuristics by other developers.
• Initiated an effort to enhance documentation across various areas within my team.
• Mentored new senior engineers on several aspects of infrastructure, backend, and internal tooling.

• Achieved ~50% reduction in the number of errors of asynchronous jobs.
• Identified eventual consistency issues and evaluated solutions with distributed locking and transactions.
• Explored caching for multimedia assets and implemented a solution with AWS CloudFront.
• Migrated code base and test suite of a Ruby micro-service to a new architecture.

• Optimized performance of internal gateway service.
• Designed backend service in Ruby for deep links management.
• Extended and improved core backend micro-services along with unit/integration testing.

• Enhanced the notification inbox with an algorithm written in Kotlin and Swift.
• Streamlined error management in the Android apps with a reactive error dispatcher.
• Improved the notification experience on Android with notification channels and the supporting micro-service in Ruby.

• Improved researchers' workflow by implementing an SDK in Python to manage datasets containing MRI scans.
• Experimented with neural networks to perform MRI scans coregistration.

• Designed and implemented key features of the Fatture in Cloud mobile app with React Native and Redux.
• Worked in an agile environment with scrum software development.

• Designed and implemented multiple distributed variants of the Particle Swarm Optimization (PSO) stochastic optimization algorithm with Kotlin, Apache Spark, and Kubernetes.
• Obtained 5x performance increase, added fault tolerance, and improved scalability with respect to the traditional PSO.

• Designed a custom use-case-oriented architecture in TypeScript with composable functional constructs and MongoDB integration.
• Developed the web app in React with custom hooks for API state handling.

• Designed the Android application with clean architecture and Kotlin coroutines.
• Developed the backend service in Go with a custom rate-limiting mechanism implemented with goroutines.

The wide adoption of edge computing has introduced several issues such as load balancing, resource provisioning, and workload placement as optimization problems. Particle swarm optimization (PSO) is a nature-inspired stochastic optimization algorithm, whose objective is to iteratively improve the solution of a problem over a given objective. The distribution of PSO to the edge would result in the transfer of resource-intensive computational tasks from the cloud to the edge, leading to more efficient use of existing resources. However, it introduces challenges related to performance and fault tolerance, due to the resource-constrained edge environment with a high probability of faults. We introduce multiple distributed synchronous variants of the PSO algorithm built on top of the Apache Spark distributed computing framework and Kubernetes container orchestration platform. These variants of the algorithm aim at addressing the performance and fault tolerance problems introduced by the execution in an edge network. A PSO algorithm that distributes the load across multiple executor nodes can effectively realize coarse-grained parallelism, thus can obtain a significant increase in performance, but also more fault tolerance and scalability.

Among the few Italian students selected to be mentees for LeadTheFuture, a leading mentorship non-profit organization for students in STEM, with acceptance rate below 20%. LeadTheFuture empowers top-performing students to achieve their goals and contribute to their communities by giving them one-on-one guidance from high-impact mentors coming from the world's leading STEM innovation hubs such as Silicon Valley and CERN.

WebValley is the FBK summer school for disseminating interdisciplinary research: almost 400 students (17-18y old) have attended the WebValley camps since its first edition in 2001. WebValley started as a regional initiative for high school students from Trentino Alto-Adige SüdTirol, and it is now an opportunity for national and international students to experiment with scientific research.

Won 2nd place locally at the biggest hackathon ever organized in Italy. I have developed a Java SDK for the SPID service which is the digital authentication system for Italian citizens.