Developer, app builder and robotics hobbyist

I build apps, tools and robots.

I’m Paweł. I work mostly with Python and Android, and I also build websites, data tools and small robotics projects.

View projects Contact me

Python Android Robotics Web development

class ParkingAI:

def learn(self, environment):

# perceive, decide, improve

trajectory = self.simulate()

return self.optimize(trajectory)

➜ parking accuracy improving...

About me

I like making projects that do something useful, whether that means tracking workouts, processing data or controlling a small robot.

Most of my work is in Python, Android and web development. I try to keep my code understandable, test things properly and finish projects instead of leaving them as demos.

Build real projects

I learn faster when I have a real problem to solve.

Keep it understandable

I prefer simple code and clear project structure.

Test on real problems

I test what I make and fix the parts that fail.

Finish what I start

A working project matters more to me than a perfect mockup.

Projects

My projects

PyBullet simulation

01 Personal project

Artificial Intelligence

AI Parking Driver Simulation

A PyBullet parking simulation. A scripted controller generates driving examples, then a neural network learns from them.

Training approachThe scripted controller creates examples used to train the neural network.

PythonPyBulletNeural NetworkImitation Learning

Live on Google Play

02Published

Android App

Reptra

An Android workout logger for saving routines, recording sets and checking training history.

AndroidWorkout TrackingMobile UIGoogle Play

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, cleans it and stores it in a consistent format.

It also checks search results, scores competition and saves the reason behind each decision.

01Collect & normalize

02Score & validate

03Generate reports

Python BeautifulSoup JSON Pipelines Web Scraping Data Analysis Automation

Hardware build in progress

04In progress

Robotics / Electronics

Autonomous Parking Robot

A small physical robot controlled with Python, a Raspberry Pi, cameras, distance sensors and motors.

Current stageConnecting power, sensors and motor control on the real robot.

Raspberry PiPythonComputer VisionSensors

05In progress

Mobile App

Second Android App

A second Android app I’m currently working on. I’ll add more details when it is ready to share.

App DevelopmentProduct DesignBeta

06Collection

Websites

A few responsive websites I have built while learning layout, accessibility and JavaScript.

HTMLCSSJavaScriptResponsive Design

Skills

Tools I use

PythonAndroidAIRoboticsComputer VisionWeb ScrapingData AnalysisJavaScriptRaspberry PiAutomation PythonAndroidAIRoboticsComputer VisionWeb ScrapingData AnalysisJavaScriptRaspberry PiAutomation

⌘

Software

Python, Android development, APIs and basic application architecture.

◉

AI & Data

PyBullet simulations, neural networks, computer vision, scraping and data processing.

⌁

Hardware

Raspberry Pi, motors, cameras, distance sensors and basic electronics.

◇

Web

HTML, CSS and JavaScript for responsive, accessible websites.

Contact

Get in touch

You can reach me by email or find my code on 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.

Google Play

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

Available now

✦ Built for focused training

5Main screens

AndroidPlatform

LiveGoogle Play status

SoloProject role

The product

What the app does

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.

The screens are kept simple so logging a workout does not take many taps.

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

Design choices

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

What took the most work

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

App screenshots

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 published on Google Play.

Open Google Play