Selected work [ 02 / WORK ]

Shipped systems, end to end.

Two shipped tools: a BMX results portal with Excel and PDF reports, and a retirement simulator with a Monte Carlo engine. Both are public and running.

Personal project CASE 01

Full-stack Sports data AI

BMX Results & Rider Reports

A read-only results portal that turns BMX race data into per-rider Excel and PDF reports with standings, records and an AI-written development review, so families and coaches can track a season at a glance.

01Search a rider and download their season as Excel or PDF
02Standings & track records computed from cached results
03AI-written development review in every PDF (DeepSeek API)
04Offline by design: serves a pre-pulled cache, not live source

Flask openpyxl WeasyPrint DeepSeek API

BMX_RESULTS ● live

Excel per-rider workbook

PDF AI development review

Records tracks & categories

DATA SOURCE sqorz.com

Try it live

Personal project CASE 02

Full-stack Fintech AI

Pension Scenario Simulator

A decision-support simulator that shows retirement outcomes under different market, salary, and savings assumptions, with an AI-written insight in every downloadable report, so users can explore and act on what drives their future income.

01Change any assumption and the outcome updates instantly
02Side-by-side scenario comparison across all pension sources
03Monte Carlo engine surfaces the realistic range of outcomes
04AI-generated retirement insight in every PDF report (DeepSeek API)

Flask Vanilla JS Chart.js DeepSeek API

PENSION_CALC● live

MONTHLY_CONTRIB €450

ANNUAL_GROWTH 6.0%

YEARS_TO_RETIRE 28

PROJECTED @ 65 €487,200

Try it live

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