Alberto Barboza

Conduct daily peer code reviews, lead pair programming sessions, and facilitate architecture discussions to uphold code quality and foster shared understanding across the team, demonstrating strong leadership and accountability. Interview and evaluate engineering candidates as part of the talent acquisition process, contributing to team growth and supportive collaboration.

Bootstrapped the entire engineering platform from zero—repository, CI/CD pipelines (GitHub Actions), coding standards, service architecture, and credential management—providing the team a solid foundation for shipping from day one, enabling efficient application deployment and technical planning. Own the B2B app monorepo and modular service architecture: shared libraries, developer tooling, and standards that enable multiple squads to deliver independently, enhancing scalability and reliability through robust web architecture and a focus on product quality.

Manage observability and monitoring with Grafana, Datadog, and Sentry, proactively identifying and addressing production issues to ensure high customer satisfaction and system reliability. Stack: React, Next.js, Node.js, TypeScript, AWS, Playwright, Jest, Grafana, Datadog, Sentry, GitHub Actions

Reviewed PRs across the team, providing constructive feedback on code quality, test coverage, and architectural consistency, fostering a collaborative development environment and demonstrating strong accountability. Collaborated with the CTO on architecture decisions, deployment strategy, and a major refactor of the legacy testing infrastructure, driving continuous improvement and enhancing performance through query tuning. Wrote and maintained unit, integration, and E2E test suites following TDD practices, catching regressions before they reached production and ensuring high product quality standards.

Debugged and resolved issues across frontend and backend services, from flaky test failures to production incidents, demonstrating strong troubleshooting and problem-solving capabilities. Cut CI/CD pipeline time by ~68% (from 1h20m to 25m) by parallelizing E2E and integration test runs, caching authentication flows, and isolating test contexts to eliminate flaky tests, enhancing efficiency and application deployment.

Mentored engineers across levels on the new testing and pipeline architecture, improving build reliability and development speed across teams, fostering talent development, and improving communication skills. Stack: React, Node.js, TypeScript, Jest, Playwright, CI/CD, Azure

Built full-stack features across multiple early-stage SaaS products from MVP through production, working in Agile sprints with tight two-week cycles, contributing to the Software Development Lifecycle, and demonstrating strong programming skills.

Worked closely with designers and product managers to refine requirements, prototype solutions, and iterate on user experience, demonstrating strong stakeholder management and a focus on UX.

Conducted peer code reviews, implemented shared component libraries and design systems, and set up CI/CD pipelines for new projects from scratch, ensuring quality standards and application deployment. Mentored junior and mid-level engineers on code quality, testing strategy, and full-stack development patterns, supporting talent acquisition and growth.

Triaged and fixed bugs across client projects, from UI regressions to API integration failures, maintaining SLAs for production systems and ensuring customer satisfaction.

Delivered a complete loan-management platform for an automotive fintech client—admin dashboard, loan processing workflows, and an inbound application system—replacing a largely manual process and improving operational efficiency.

Integrated AI capabilities into a video SaaS platform: automated transcript extraction (Whisper), chapter generation, marketing copy creation (GPT-4), and short-form social video generation for enterprise clients like Novartis, leveraging AI and API integrations for enhanced product features. Stack: React, Next.js, Node.js, TypeScript, PostgreSQL, GraphQL, REST, GCP, AWS, Docker, LangChain, OpenAI (Whisper, GPT-4)