Context
CONCORA is a shared production product built around a public problem: Latin American talent often has limited visibility and access to meaningful opportunities, while organizations struggle to reach the people who could benefit from their programs.
I joined as a Full Stack Developer in November 2025. This case study focuses on my working practices and public contribution; it does not reconstruct the company’s internal architecture.
The product problem
Opportunities, learning and professional growth are often dispersed. People must discover what is relevant to them, and organizations need a useful way to connect their offerings with the right audience.
The product evolved from a social experience into a platform that connects people with opportunities offered by companies and organizations.
Users and workflow
At a public level, the product connects talent, opportunities and organizations. The user experience must make discovery understandable while the underlying product logic evaluates and presents relevant possibilities.
Internal actor definitions, permissions and data flows are intentionally omitted.
My work in the solution
I implement product features end to end across interface, backend and data layers. I also propose technical and product improvements while collaborating with other developers through focused commits, pull requests and documentation.
Selected challenge
One selected challenge was improving opportunity matchmaking. I redesigned the matching logic, its database queries and its interaction with AI-assisted evaluation, then improved how recommendations were presented in the interface.
In internal evaluation, the redesign delivered approximately twice the previous matchmaking performance.
How I worked
My work combines database queries and migrations, normalization scripts, feature implementation, technical reports and collaboration inside an established production codebase.
Specific frameworks, architecture diagrams, infrastructure settings and internal data are omitted because they are confidential.
Key decisions
- Treat the matching result and its user-facing explanation as one product problem.
- Review query behavior together with the evaluation logic instead of optimizing either in isolation.
- Make changes legible to the team through focused commits, migrations and technical documentation.
- Preserve confidentiality by explaining the engineering approach without reproducing internal systems.
My contribution
As a Full Stack Developer, I own selected features across the interface, backend and data layers. I contribute proposals and implementation within a shared team; I do not claim the complete product or architecture as my own.
Main challenge
The challenge was improving a recommendation behavior while respecting the conventions and dependencies of a mature shared codebase. The quality of the change depended as much on integration and communication as on the isolated logic.
Outcome and current state
CONCORA is an active product. The matchmaking redesign delivered approximately twice the previous internally evaluated performance, while implementation details and other private metrics remain outside this public case study.
What I learned
CONCORA taught me how to contribute to a shared production codebase: write focused changes, create migrations, normalize existing data, document decisions and work through pull request feedback.
What I would change
I would invest more time at the beginning in understanding the existing stack, development conventions and team methodology. Adapting to an established system was a core part of the work, not preparation before the “real” work.
Public media
No private screen, user data, internal diagram or product demo is shown here. Any future material would require explicit approval from CONCORA and remain limited to authorized public flows.
Confidentiality
This is professional work. Some implementation details, metrics and internal architecture are intentionally omitted. No repository action is provided because the source is confidential.