Scientific system · Platform modernization · 2026

Biodiversity Data & Field Research Platform

A specialized research system for taxonomy, field sampling, specimens, biometrics, habitats, localities, media, and map-based geographic work.

role
Platform modernization contributor
period
2026
stack
.NETC#AngularPostgreSQLPostGISOpenLayersDockerCI/CD
// 01 context

The challenge

A mature scientific application with an older frontend and interconnected data model needed targeted modernization without disrupting field and research workflows.

// 02 delivery

What I contributed

  1. 01

    Contributed backend migration work toward a current .NET runtime and updated identity-facing application paths.

  2. 02

    Diagnosed and repaired continuous-delivery pipeline behavior during platform changes.

  3. 03

    Added production diagnostics and log collection to make operational failures easier to investigate.

  4. 04

    Resolved container-build compatibility constraints around the established Angular frontend.

  5. 05

    Maintained the public certificate chain required for reliable browser and service access.

System viewBiodiversity Data & Field Research Platform
FIELD WORKSAMPLES · MEDIARESEARCH SYSTEMTAXONOMY · BIOMETRICSHABITATS · LOCALITIESGEOSPATIALMAPS · POSTGISIDENTITY / WEBCONTAINERS / DELIVERY / LOGS
// 03 architecture

Key decisions

01

Modernize around stable workflows

Platform and identity changes are isolated from the scientific model so researchers keep familiar data-entry behavior.

02

Make deployment diagnosable

Pipeline fixes and targeted logging provide evidence at build, host, and certificate boundaries.

03

Preserve compatibility deliberately

Container tooling accommodates the established frontend while backend and identity work move forward independently.

// 04 result

The outcome

The modernization work improved deployment confidence and operational visibility while protecting a specialized scientific workflow from unnecessary product change.

// contact

Have a complex system? Let’s make the next change safer and more useful.