My projects
Project 4:
Holtrax - tow track tracker
Holtrax is an application that enables real-time tracking of tow trucks, built using a serverless architecture. The project is currently in its MVP (Minimum Viable Product) phase, with a test release planned in the coming months. The primary goal of Holtrax was both to explore and practically implement modern cloud-native solutions. By leveraging serverless technologies, the app can scale automatically in real time without the need to manage any server infrastructure — making it highly flexible and efficient under varying loads. The project is split into two core applications: a mobile app for drivers, and a web-based interface for customers. Holtrax uses Mapbox, a powerful mapping platform that allows developers to create modern, customizable map experiences — in both 2D and 3D. A detailed feature table for both the driver and customer is available below.
| Driver Features | Customer Features |
|---|---|
| Mobile app (Android & iOS) | Web-based interface |
| Generate token with route | Real-time tow truck tracking |
| Built-in navigation | Multiple map views with day & night lighting presets |
| End-of-trip flow | Final screen with animated globe |
Stack & Tools:
- AWS - API Gateway, Lambda (with roles and triggers), DynamoDB, Cognito, CloudFormation, CloudWatch, IAM, Amplify,
- Flutter - mobile app for the driver (Android & iOS),
- React + Vite - web app for the customer,
- Mapbox - interactive maps with 2D and 3D modes,
- Mapbox Search Box API - location search functionality,
- Mapbox GL JS + Threebox + Three.js - real-time 3D tow truck rendering,
- AWS CLI & Amplify Gen 2 - infrastructure as code + authentication environment,
- Navigation SDK - route and ETA calculation,
- Postman - API testing and documentation,
- GitHub - version control and full project history,
- Jira - ~50 tasks completed, 20+ left before testing, 100+ ideas in the backlog 💡,
- Draw.io - system architecture diagrams.
Holtrax Projekt Architecture
Project 3:
Static website for my friend
Using AWS technologies such as Simple Storage Service (S3), Route 53, and AWS CloudFront with an SSL certificate,
I created a website for my friend to help them attract new customers.
I still have many ideas on how to enhance the site by integrating additional AWS technologies,
and I plan to implement them step by step in the near future.
Project 2:
Image Labels Generator with Amazon Rekognition
Image Labels Generator In this project, I'm building an image labels generator using Amazon Rekognition and Python. Once it's ready, the app will be able to recognize and label images. For example, if you upload a photo of a cat, Amazon Rekognition will identify it and label the image as a cat. The magic of this project starts when there are multiple elements in a sample, like a busy street, where Rekognition can identify and label each object in the image.
Architectural diagram of a Rekognition labels generator
Project 1:
My personal static website
The first project is my current website, where I used AWS technologies such as Simple Storage Service (S3), Route 53 and AWS CloudFront with an SSL certificate. Additionally, by utilizing AWS Lambda functions and the DynamoDB database, I created a page view counter, which is located below.
