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Over two years, our team collaborated with Plaid, a global financial services firm, to optimize their trading and risk management applications. We maintained low-latency data processing for large financial datasets, added new risk analysis functionalities, and refactored the codebase to reduce technical debt.
By integrating a microservices architecture for modularity and scalability, we deployed new features ahead of schedule and increased test coverage by 35%, significantly improving code reliability.
Over two years, our team of 12 developers worked closely with Plaid to enhance their trading and risk management applications.
We refactored the codebase to reduce technical debt and integrated a microservices architecture for modularity and scalability. This allowed Plaid to deploy new features faster and maintain low-latency data processing for large financial datasets.
We added new risk analysis functionalities, improving the platform’s ability to handle complex financial scenarios. By increasing test coverage by 35%, we significantly improved code reliability and reduced production defects.

Backend Developers: 6 (Java, Hibernate, Spring Boot)
Frontend Developers: 4 (UI/UX integration)
QA Engineers: 2 (Testing, defect tracking)
Maintaining low-latency data processing for large datasets.
Refactoring legacy code while ensuring compatibility with new features.
Training internal teams on microservices workflows.
Balancing rapid feature delivery with system stability.
Weekly sprint reviews with Plaid’s trading and risk management teams.
Joint workshops for feature prioritization and architecture design.
Shared Jira board for task prioritization and progress tracking.
Co-authored documentation for future maintenance.
Spanning 30+ verticals and 25+ technologies, our team has designed and implemented innovative solutions to suit even the most unique needs.

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