AI Engineer · Computer Engineer
I build products where AI meets data systems.
Computer engineer working on AI-driven systems, data pipelines and system integrations. I design automation-oriented, scalable structures that turn complex raw data into something meaningful and usable.
Open to new projectsProject 6 of 7
The first end-to-end product I wrote with a layered architecture.
A blog platform with user and content management (CMS) features, built with ASP.NET MVC on a layered architecture and Entity Framework.
The internship brief looked simple: build a blog. But the real requirement was not "a page that lists posts" — someone without any code knowledge had to be able to manage the content, user roles had to be separated, and the structure had to be able to grow later.
I built a blog platform with user and content management (CMS) features. Posts can be created, edited and categorised from an admin panel alongside user operations, while the front end serves the visitor side.
Layered architecture. Presentation, business logic and data access were split into separate layers. That may look like overkill for an internship project, but it is exactly what I learned from it: put data access inside the controller and the project becomes unchangeable by week two.
Data access through Entity Framework. CRUD operations and relations were modelled with EF, and the SQL Server schema was managed with migrations.
Responsive interface with Bootstrap and jQuery. An interface that works on mobile and desktop, and holds up on the admin side too.
The project was delivered working within the internship period. For me the real output was seeing, concretely and for the first time, the difference between "code that works" and "code that can be maintained" — I have gone back to that lesson about layer separation on every project since.
As an AI Engineer with a degree in Computer Engineering, I build LLM-based chatbot and AI agent systems, data processing pipelines and system integrations.
I have hands-on experience setting up PII masking, read-only database security and Prometheus/Grafana-based observability layers in production environments. Using Python, REST APIs, SQL and Elasticsearch, I integrate AI-powered systems into real business processes and focus on building secure, scalable and maintainable products.
Résumé
AI Engineer · Computer Engineer
Developed AI-based data processing, analysis and automation pipelines, optimising data collection, processing and reporting workflows. Built LLM integrations, AI agent architectures and enterprise AI chatbot solutions, enabling data enrichment, classification and business process automation. Developed REST API integrations, data processing services and inter-service communication components in Python. Designed API-based workflows and automations with n8n that connect different systems. Carried out data modelling, SQL optimisation and data management on MySQL and MariaDB. Built data search, indexing and filtering infrastructure with Elasticsearch. Set up server, application and service monitoring with Prometheus, Grafana and Zabbix, including performance tracking, alerting and observability dashboards. Contributed to managing and monitoring systems on Linux/Debian, Proxmox and container-based infrastructure.
Supported software development within the Credit Card Payment Systems department. Contributed to data analysis, SQL query optimisation and reporting on Microsoft SQL Server. Gained experience with service integrations and layered architecture in C#/.NET enterprise applications.
Built a blog platform with user and content management features using ASP.NET MVC, SQL Server and Entity Framework. Designed the application structure with a layered architecture and implemented database management and CRUD operations.
Bachelor's degree, Faculty of Engineering, Department of Computer Engineering.
Certificate of participation.
Contact
If you want to talk about AI, data systems or automation work, drop me a line — I usually reply the same day.
