Building ambitious things at 15

I turn ideas into software.

I’m Paweł, a developer exploring apps, AI, robotics, automation, web scraping, data analysis and modern web experiences.

Explore my projects ↘ Let’s connect

6+ project areas 2 mobile apps 1 real-world robot

class ParkingAI:

def learn(self, environment):

# perceive, decide, improve

trajectory = self.simulate()

return self.optimize(trajectory)

➜ parking accuracy improving...

Robotics

Apps

Scroll

About me

Curious by default.
Always building.

I enjoy projects where software has to understand the world, make decisions, automate repetitive work or control something physical.

My work ranges from Android apps and websites to AI simulations, robotics, scraping pipelines and large-scale data analysis. I care about clean code, useful products and the feeling that every new project teaches me something difficult.

Learn by building

I choose real projects instead of isolated tutorials.

Think in systems

I connect software, hardware, data and user experience.

Improve constantly

I test ideas, find weak points and iterate until they work.

Make it useful

Technology is most exciting when it solves a real problem.

Selected work

Projects across code,
data and machines.

PyBullet simulation

01 Core AI project

Artificial Intelligence

AI Parking Driver Simulation

A PyBullet driving environment where a neural network learns vehicle control from data generated by a custom scripted parking algorithm.

Training approachExpert-generated state/action examples → supervised neural-network training.

PythonPyBulletNeural NetworkImitation Learning

Live on Google Play

02Published

Android App

Reptra

A clean, focused workout logger built to make routines, sets, progress and training analytics easy to use without distracting clutter.

AndroidWorkout TrackingMobile UIGoogle Play

View on Google Play ↗

Raw offers→ Normalize→ Validate intent→ Analyze SERPs

03 Backend data pipeline

Automation / Web Scraping / Data Analysis

Goldbridge

Goldbridge collects product and program data, transforms messy source material into structured records, and runs it through a multi-stage analysis pipeline to identify promising online business opportunities.

It generates buyer-intent search queries, validates them against real search results, scores competition, and preserves clear pass/fail reasons so every decision stays reviewable and easy to improve.

01Collect & normalize

02Score & validate

03Generate reports

Python BeautifulSoup JSON Pipelines Web Scraping Data Analysis Automation

Replace with robot photo / video

04In progress

Robotics / Electronics

Real-World Autonomous Parking Car

A physical robotic car that transfers the parking logic from simulation into the real world using sensors, electronics and embedded software.

Raspberry PiRoboticsSensorsPython

Replace with app preview

05In progress

Mobile App

Upcoming App

A second app currently under development. This card is ready for a product description, development story and launch status.

App DevelopmentProduct DesignBeta

Replace with website previews

06Collection

Websites

Modern Web Projects

A growing set of responsive websites focused on polished interfaces, smooth interactions and clear user experience.

HTMLCSSJavaScriptResponsive Design

What I work with

A toolbox that keeps growing.

PythonAndroidAIRoboticsComputer VisionWeb ScrapingData AnalysisJavaScriptRaspberry PiAutomation PythonAndroidAIRoboticsComputer VisionWeb ScrapingData AnalysisJavaScriptRaspberry PiAutomation

⌘

Software

App architecture, Python programming, algorithms, APIs and maintainable project structure.

◉

AI & Data

Simulation, computer vision, autonomous decision-making, scraping and analytical pipelines.

⌁

Hardware

Robotic vehicles, Raspberry Pi, sensors, electronics, testing and real-world integration.

◇

Web

Responsive layouts, modern visual systems, interactions, animation and usability.

Let’s build something

Have an interesting idea?

Have a project idea, collaboration, or just want to talk about software, AI, or robotics? Reach me by email or GitHub.

paul.szyburski@gmail.com ↗

Android / Fitness Published product

Reptra

A focused workout tracker that keeps logging fast, routines organized and progress visible without turning a training session into a complicated spreadsheet.

Open on Google Play ↗

Role: App developer
Project type: Workout tracker
Platform: Android
Status: Live on Google Play

Available now

✦ Built for focused training

05Core product screens

01Published Android app

0Unnecessary clutter

100%Training focused

The product

Log the workout.
See the progress.

Reptra was designed around the moment that matters most: being in the gym and needing to record a set immediately. The interface keeps the current exercise, weight, reps and completed sets visible without forcing the user through unnecessary screens.

Outside the active workout, the app turns training history into useful views. A calendar, muscle distribution chart and body overview make consistency and balance easier to understand while routines keep repeat sessions quick to start.

Core experience

Everything needed
for a complete session.

Each screen has one clear job, so the app stays easy to learn and fast to use.

Quick start

Begin an empty workout immediately or launch one of your saved routines.

Set logging

Record weight, repetitions and completed sets directly inside the active workout.

Training calendar

See workout days at a glance and understand how consistent the month has been.

Body overview

Review which muscle groups received work across the selected time period.

Distribution chart

Compare muscle-group volume through a simple radar chart and percentage breakdown.

Product design

Dark, direct
and distraction-free.

The design uses high contrast, large touch targets and a small number of strong accent colors. Important workout actions are blue, completed sets are green, and supporting information stays visually quieter so the user always knows what to do next.

↗

Fast navigation

Routine cards and large primary actions keep common tasks within easy reach.

✓

Clear feedback

Completed sets change state immediately, making progress obvious during a session.

⌁

Readable analytics

Charts support the numbers instead of replacing them, keeping the data understandable.

Engineering focus

Building a real app
means finishing the details.

Fast input

Workout logging becomes frustrating when every set requires too many taps.

Approach

Keep the current exercise and editable values together, with one clear completion action.

Useful history

Raw workout records are difficult to understand when they are shown only as a long list.

Approach

Transform history into calendar, body and muscle-distribution views that answer specific questions.

Shipping the product

A working prototype is not the same as an app that real users can install.

Approach

Complete the release flow, package the product and publish it as a live Google Play application.

Interface gallery

One visual system.
Five focused screens.

Click any screen to inspect the full-size app screenshot.

Product scope

Designed, built
and actually shipped.

Android Workout logging Mobile UI Routine management Product design Data visualization Local app data Release management Google Play

Try the app

Reptra is live
on Google Play.

Reptra is available as a published Android app on Google Play.

Open Google Play ↗

I turn ideas into software.

Curious by default.Always building.

Learn by building

Think in systems

Improve constantly

Make it useful

Projects across code,data and machines.

AI Parking Driver Simulation

Reptra

Goldbridge

Real-World Autonomous Parking Car

Upcoming App

Modern Web Projects

A toolbox that keeps growing.

Software

AI & Data

Hardware

Web

Have an interesting idea?

Curious by default.
Always building.

Projects across code,
data and machines.