Alexandro Freyssinier

Senior Software Engineer

Talento

Gustavo Adolfo MaderoMiembro desde 25 de septiembre de 2026

JavaEnterprise IntegrationsRESTGraphQLModular Content StructuresAI-Assisted Software DevelopmentDistributed SystemsPythonTypeScriptDockerCI/CD PipelinesError HandlingRetriesTimeoutsAuthenticationInput Validation

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JavaEnterprise IntegrationsRESTGraphQLModular Content Structures

Sobre mí

Software Engineer with 7 years of experience designing, developing, and maintaining production software across enterprise backend services, distributed systems, and full-stack applications. Strong expertise in Java, object-oriented design, and building resilient enterprise integrations using robust error handling, retries, and timeouts. Highly adaptable engineer comfortable with architectural layouts and modular content structures, with a proven track record of taking semi-defined, ambiguous problems from clarification through to full cloud deployment.

Pioneering advocate of AI-assisted development (GenAI workflows) to drastically accelerate implementation, technical exploration, and delivery velocity while maintaining strict engineering standards.

Experiencia

Senior Software Engineer at DebtBook (2020-12 – Present)

Design and develop high-throughput production software across modular enterprise backends, cloud services, and complex application integrations.
Architect and optimize robust backend services and APIs leveraging Java (OOP patterns), Python, and TypeScript, significantly reducing latency across core product surfaces.
Model and implement maintainable, decoupled content and data structures, focusing on high testability, strict access permissions, and clear separation of concerns.
Build secure enterprise integrations connecting systems to external APIs and data sources via REST/GraphQL, ensuring robust authentication, input validation, and sophisticated retry/timeout handling.
Take full ownership of semi-defined requirements, transforming ambiguous product gaps into technical execution plans, estimates, and reliable software deliveries.
Diagnose complex production issues, tracing failures across application layers, repositories, and distributed networks using logs, metrics, and local reproduction.
Modernize deployment workflows and development consistency utilizing Docker, modern CI/CD pipelines, and cloud-based environments.
Spearhead an advanced AI-assisted software development workflow (leveraging GenAI productivity tools for rapid prototyping, debugging, and continuous refactoring) to accelerate feature delivery while ensuring code quality and ownership.