Work experience

• Backend / Platform Engineer

  Prograd

  2025.08-Current

  (8 months)

  Worked on backend platforms supporting high-volume financial event processing and internal tooling. • Took ownership of unstable async ingestion pipelines processing ∼350k financial events per day; audited retry logic, database queries, and state handling end-to-end, reducing ingestion failure rates during peak traffic and lowering infrastructure costs by 83%. • Introduced structured logging, metrics, and trace identifiers, reducing average incident investigation time from hours to under 30 minutes. • Introduced explicit validation layers and shared data contracts, reducing integration regressions and preventing silent data inconsistencies across services.
• Senior Backend Engineer

  Lumenalta

  2022.01-2025.08

  (4 years)

  Built and maintained distributed workflow systems used in B2B automation products. • Enforced idempotent processing across async components, eliminating duplicate job execution and reducing race-condition-related production incidents. • Redesigned distributed workflow execution with explicit retries, timeouts, and deterministic state transitions, improving recovery reliability across multi-step async jobs. • Designed and built internal developer tools (CLI utilities, environment switchers, pipeline interactionhelpers) to streamline backend debugging and workflow testing, improving engineering velocity and reducing operational friction. • Created debugging guides and failure maps that improved on-call response efficiency and reduced release friction. 1
• Backend Engineer (Go)

  Filtered

  2020.11-2022.01

  (a year)

  Developed backend services for an enterprise adaptive learning platform. • Built Go microservices with well-defined interfaces and test coverage to improve reliability and inte- gration speed. • Standardized ECS/Fargate deployments and CI pipelines, reducing deployment-related failures. • Led Terraform adoption for infrastructure provisioning, minimizing configuration drift across environ- ments.
• Backend Engineer

  Endeavour Streaming

  2019.08-2020.11

  (a year)

  • Owned production services and improved stability by clarifying service boundaries and removing un- defined behavior. • Introduced shared testing utilities to reduce regressions and increase deployment confidence. • Contributed to infrastructure migration toward Terraform to improve consistency and auditability.
• Backend Engineer

  Hulgrave

  2018.07-2019.08

  (a year)

  Built backend systems for financial data integrity and reporting. • Developed resilient AWS services tolerant to malformed input and upstream failures. • Implemented strict validation layers to protect downstream financial data accuracy. • Added CI and monitoring to support safer deployments and faster rollback capability.
• Full Stack Engineer

  Atlas

  2016.08-2018.07

  (2 years)

  Worked across backend and frontend systems in a multi-service platform. • Built Angular and Node.js features with explicit data models to reduce runtime errors. • Maintained Java-based services and legacy components while clarifying service responsibilities. • Supported production deployments and MongoDB storage with improved operational practices. Selected Technical Project

Projects

• Real-Time Voice Processing Infrastructure

  Side Project

  2025.06-Current

  (10 months)

  Voira is an AI-powered voice security platform designed to detect and prevent scam and fraud calls in real time. The system processes live call streams, analyzes interactions using machine learning models, and provides immediate feedback to protect users and generate actionable insights for telecom providers. The platform is built with a strong focus on low-latency processing, privacy-first data handling, and scalable backend infrastructure, enabling deployment within telecom environments or secure cloud setups.

Educational experience

• University of Trento

  Computer Science

  2012.06-2015.06

  (3 years)

  Bachelor’s Degree in Computer Science – University of Trento (2015) The program provided a solid foundation in computer science, covering algorithms, data structures, software engineering, databases, and distributed systems. It emphasized both theoretical understanding and practical application through projects involving backend development, system design, and problem-solving. The curriculum also included topics such as operating systems, computer networks, and programming paradigms, enabling the development of scalable and reliable software systems.

Languages

Skills