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Proof of Work. Realized visions.

eco-ride.org
Web App / Booking01 // 2024

eco-ride.org

Developed a fully automated booking platform for urban bike rentals. The system is designed to maximize conversion rates via a 'Mobile-First' interface while ensuring instant order processing. Powered by a robust backend architecture, it manages real-time availability and instantly notifies managers via Telegram about new bookings.

Booking SystemReal-time NotificationsMobile-FirstHigh Performance
ERP_COMMUNICATION_MODULE
System Integration / Automation02 // 2023

ERP_COMMUNICATION_MODULE

Developed a custom automated communication module for a large-scale enterprise ERP. Engineered a robust Java-based integration to handle transactional notifications (Email and WhatsApp) within the 'Order-to-Cash' workflow. Implemented a reliable Selenium-based workaround to bypass API restrictions, ensuring seamless, event-driven message dispatch synchronized with the core MS SQL database.

JavaSelenium WebDriverSystem IntegrationMS SQLAutomation
SMART_LOGISTICS
R&D / Architecture03 // 2023

SMART_LOGISTICS

An R&D project to architect a high-efficiency algorithmic logistics system. We modeled a microservices-based TMS (Java/Python) using simulated GIS data to generate 25x25km profitability heatmaps. The proof-of-concept successfully demonstrated how a decision-making engine can balance route profitability with strict adherence to EU Driver Working Hours regulations (EC 561/2006).

MicroservicesJava & PythonOpenStreetMapGIS AlgorithmsEU Compliance
FundacjaZyrafa.pl
Social / Web Dev04 // 2025

FundacjaZyrafa.pl

A centralized digital ecosystem for a multi-branch non-profit organization. We developed a bespoke Headless CMS in Python to manage schedules, workshops, and events across multiple physical locations, paired with a highly responsive React.js frontend for a seamless user experience.

Custom CMSReact.jsPythonMulti-tenant
VISUAL_SEARCH_AI
Data Science / ML05 // 2024

VISUAL_SEARCH_AI

Intelligent recommendation engine based on Computer Vision. The system analyzes visual patterns (textures, shapes) to cluster objects without human supervision. It utilizes the VGG16 architecture for feature extraction and UMAP algorithms for dimensionality reduction, enabling high-precision 'Search by Image' functionality for large datasets.

PythonTensorFlowComputer VisionUnsupervised LearningR&D
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