Antonio Toncetti

Developed web applications in Go and Elixir, using a microservices/monolith approach with focus on scalability and fault tolerance. Built and maintained CI/CD pipelines to improve development speed and coding confidence across 20+ projects. Architected and led backend development from scratch for an enterprise-grade ERP system, coordinating cross-functional international work with 13 engineers. Introduced team-wide AI coding practices and helped migrate and modernize legacy systems using AI multi-agent approaches, reducing operating costs significantly. Gathered and analyzed client requirements, supported sales efforts for long-term customers, and trained new employees.

Developed efficient, maintainable solutions for clients in sectors such as fintech and medical, primarily using Elixir with Phoenix and PostgreSQL, exposing data through APIs (GraphQL, gRPC, and REST) deployed on Google Cloud Kubernetes clusters. Implemented integrations for interoperable systems, handling data exchange from various formats to API-to-API communication with scheduled jobs and synchronized data. Maintained CI/CD pipelines and infrastructure, performed regular code maintenance and updates, and supported legacy codebases.

Designed and developed a prototype into a production-ready warehousing automation system in close collaboration with the client, including AI consulting and planning optimization. Built database architecture with row-level security (RLS) for fine-grained access control, and proposed IAM solutions for multi-tenant cloud architecture using role-based access control (RBAC). Implemented scalable, fault-tolerant backend systems with Elixir and Phoenix, contributing to large-scale contact tracing during the COVID-19 pandemic. Worked with identity, security, privacy compliance, and reliable operations with minimal downtime, using a PostgreSQL tech stack and related tooling.