gabriel antonio laines sobral

Led the migration of a legacy AngularJS application to Angular 16, improving maintainability
and performance in the biotechnology domain.
Developed and maintained web applications using Angular, AngularJS, RxJS, Node.js,
PostgreSQL, and MongoDB to support critical biotechnology research workflows.
Designed and implemented the Lipid Nanoparticle (LNP) Formulation Management
Application for Moderna, enabling efficient management of biotechnology research data
and formulation processes.
Integrated biotechnology applications with other research systems, ensuring seamless data
flow and traceability in research environments.
Applied advanced RxJS techniques to manage complex data streams, providing real-time
insights and improving the performance of biotechnology applications.
Contributed to the development of tools that enabled researchers to manage, visualize, and
track critical data in biotechnology research, ensuring compliance with industry standards.
Ensured the traceability of key biotechnological data and processes, enhancing the integrity
of research outcomes.
Collaborated with cross-functional teams to understand and address the unique technical
challenges in the biotechnology field.
Designed and implemented unit testing strategies with Jasmine and Karma, ensuring high
code coverage and quality in critical biotechnology applications.
Provided technical guidance and innovative solutions to improve the performance,
scalability, and maintainability of biotechnology systems, addressing the complex needs of
the research teams.

Maintained and developed financial applications for backoffice operations, enabling efficient
and compliant updates to client profiles.
Utilized Angular, Node.js, TypeScript, Kafka, AWS, and Java (Spring Boot) to build scalable
and high-performance systems.
Integrated Kafka for real-time event processing and implemented secure APIs for managing
client-related financial data.
Designed and executed unit tests with Jest, Karma, Jasmine, Mocha, and Chai, ensuring high
code quality and stability of financial applications.

Led the migration and improvement of an HR application used for managing the
recruitment process, including sourcing, approaching, and onboarding candidates to the
company.
Responsible for making architectural decisions to optimize the application’s performance,
scalability, and maintainability, ensuring the system could handle an increasing number of
users and growing data volumes.
Implemented and enhanced backend services using Node.js, ensuring smooth integration
with front-end Angular applications and efficient management of recruitment data.
Migrated the application’s database to DynamoDB, improving performance and scalability
while maintaining data integrity and supporting complex queries related to candidate
information.
Utilized AWS services, including CloudFormation, API Gateway, and Lambda, to streamline
deployment and ensure scalability in a cloud environment.
Worked on deploying the application to AWS, automating infrastructure management and
reducing manual intervention through DevOps practices.
Collaborated with HR teams to ensure the system met business requirements, optimizing
workflows for recruiting, tracking candidates, and improving the overall user experience for
HR personnel.
Designed and implemented API endpoints for seamless communication between the front-
end and back-end, improving user interactions with the HR system.
Actively contributed to the optimization and refactoring of legacy code, ensuring a smooth
transition for both end users and internal teams.
Enhanced the DevOps pipeline, ensuring smooth CI/CD processes and continuous delivery
of features, while maintaining high availability and reliability of the application.