Backend engineering, full-stack applications, automation, and AI integration through real projects.
Explore the workflows, architecture and engineering focus behind my projects. For production work and measured improvements, see my professional experience.
Sievex is a backend-focused automation platform designed to run controlled web-crawling and data-processing workflows.
Users can authenticate, submit validated requests, and execute crawling or automation jobs through secure workflows.
The platform includes secure crawling workflows and AI assistance that uses crawl results and conversation history to answer follow-up questions. Its features include:
Sievex represents my interest in combining backend engineering, automation, web data, and Generative AI into one platform.
Trade Journal is a full-stack application designed to help traders understand their trading behavior and performance.
Users can upload broker CSV/Excel files or manually enter trades. The application processes trading executions and transforms them into meaningful trading positions and analytics.
The platform includes functionality such as:
The backend follows a modular-monolith architecture using Java 17 and Spring Boot 3, while the frontend is built with Angular.
This project allows me to experiment with real-world software architecture, financial data processing, analytics, security, and application design.
InstaSend is an email automation project designed around modular and scalable backend architecture.
The project explores functionality such as:
The goal of the project is to better understand how production email automation platforms can be designed using Spring Boot.
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