Backend Engineering

• Improved GIS map performance 10x on PostgreSQL

  Improved geographical map application performance by 10x through strategic database transition from MSSQL to PostgreSQL, including the data cutover, optimizing processing and data security.

• Delivered 8 Power BI projects with manuals

  Delivered 8 Power BI projects with comprehensive manuals, integrating Microsoft Power BI tools with NodeJS API and Python FastAPI for effective data analytics and visualization.

• Led 30+ GIS projects from build to support

  Led the development, deployment, and support of over 30 GIS projects, demonstrating expertise in PostgreSQL, Bash, Python, JavaScript, GDAL, ArcGIS, PostGIS, and Mapbox technologies.

• Developed a Data Analytics reporting system

  Developed a Data Analytics reporting system, increasing quarterly software revenue by 400% through Python‑based PDF reports.

• A maritime platform built in clean layers

  Architected a layered maritime platform separating a Next.js PWA frontend, a Go (Huma/Fiber) API, and a PostgreSQL function layer, keeping all business logic in the database.

• Designed a JSON passthrough from Postgres to API

  Designed a JSON passthrough architecture where PostgreSQL functions return complete JSON forwarded verbatim by the Go API, eliminating intermediate unmarshalling and decoupling the frontend from schema changes.

• Designed a function‑first PostgreSQL data layer

  Designed a PostgreSQL function‑first data layer — 1,275 stored functions across 34 schemas — so every read and write goes through a function the database can grant, rather than through a table.

• Quicker answers from a better choice of key

  Adopted UUID v7 time‑ordered identifiers (PostgreSQL 18) as entity keys to reduce B‑tree index fragmentation and speed up queries.

• Implemented a catalogue‑driven deep‑merge

  Implemented a catalogue‑driven deep‑merge for stored JSON preferences, preventing missing‑key crashes as the schema evolves.

• Built Stripe and in‑app purchase entitlements

  Built the payments and entitlements layer — Stripe alongside Apple and Google in‑app purchase — gating the directory, search and export through an 11‑table access model checked on the server.

• Moved slow work onto a River job queue

  Moved slow work off the request path onto a River job queue — 15 worker modules, 8 scheduled tasks and 20 pg_cron jobs — so a request returns while the work behind it carries on.

• Built a loyalty wallet, leagues and badges

  Built the loyalty and reputation system — 67 functions over a 31‑table ledger, with leagues, badges and a redemption shop — taking a row lock on the balance to close the double‑spend window.

• Built the hiring and seafarer career workspaces

  Built the hiring marketplace and the seafarer career workspace — 151 stored functions across 48 tables — covering vacancies, applications, certificates, rank progression and verified sea time.

• Built a database‑driven CV generator

  Built a database‑driven CV, references, portfolio and cover‑letter generator in Python — 41 modules, 10,580 lines — rendering six output formats from one 23‑table SQLite source assembled by a 19‑step idempotent pipeline.

• Moved every string into a content tree

  Moved every user‑facing string out of Python into a content tree of 874 files across three languages, after finding dead translations nobody could see were dead and a check silently grading a third of the achievements.

This work is part of what we offer as Backend & API Development, Database Design & Modeling, Full‑Stack Product Development, Platform & Solution Architecture, Product Strategy & Requirements, Data Governance & Quality, AI Agent Tools & MCP Servers and Data Analytics & BI Dashboards.

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