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Team capstone / Backend Developer
2026 — Backend Developer

Paldo

A centralized scholarship platform featuring eligibility filtering, application tracking, and automated announcements.

ASP.NET CoreReactPostgreSQLDocker
Paldo application preview
Application deliverable & system architecturePaldo

Context

Local government scholarship programs struggle with fragmented paper applications, manual eligibility screening, and lack of transparency for student status tracking.

What I built

  • Architected ASP.NET Core REST API services managing scholarship program definitions, eligibility criteria, student applications, and approval workflows.
  • Modeled relational schemas in PostgreSQL supporting multi-step applicant pipelines, document metadata, and institutional reviewer assignments.
  • Integrated Docker environments for local backend services and database provisioning across team workflows.

Technical approach

  • Built with ASP.NET Core following clean controller-service-repository patterns and strongly typed Data Transfer Objects (DTOs).
  • Enforced eligibility validation rules (GPA thresholds, residency classifications, income brackets) directly in application service layers prior to status promotion.
  • Modeled state machine transitions for applications (Submitted -> Under Review -> Eligible / Rejected -> Disbursed) ensuring immutable audit histories.
  • PostgreSQL database indexes optimize student profile queries and reviewer queue filters.

Security and verification

  • Enforced role-based authorization ensuring applicants can only view their own submission records while institutional evaluators access assigned applicant pools.
  • DTO validation and input model annotations sanitize payload parameters and enforce schema integrity.
  • Automated integration tests cover scholarship CRUD workflows, status transition guards, and unauthorized route access rejection.

Current limits

  • Developed as an Open iT bootcamp capstone using synthetic student records and demo grant allocations.
  • Automatic OCR document proof verification is not yet implemented; reviewer verification remains manual.