Building scalable, high-performance solutions
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Leading teams to ship reliable software—fast, secure, and maintainable.
I’m an experienced IT Manager and Software Development Lead, managing a software development team of 10+ professionals. We build scalable solutions using the Microsoft stack and modern web practices, with a strong focus on system integration and service-oriented architecture.
Alongside leadership, I bring 10+ years of hands-on Linux administration, maintaining critical services and infrastructure while bridging technical execution with strategic direction.
Currently focused on
Shifting towards Progressive Web Applications (PWA) to keep products aligned with modern web standards and user expectations.
Source control: GitLab • Databases: SQL Server, MariaDB
Core Expertise
Core Expertise
Software Development
Software Development
Building scalable applications and leading delivery across backend and web modernization.
Microsoft .NET .NET Framework (C#) GitLab
PWA Development SQL Server MariaDB
Linux Administration & Operations
Linux Administration & Operations
Configured and maintained production services with reliability and security in mind.
Web Servers SAMBA LDAP Squid Proxy
MySQL PostgreSQL
System Integration
System Integration
Designing and integrating services using API-driven and legacy integration patterns.
REST APIs WSDL
Service Integration Scalable Architecture
Leadership style
Leadership style
I’m passionate about driving teams to innovate, collaborate, and deliver high-quality, efficient software solutions.
Programming Skills
Programming Skills
Comfortable across multiple languages and web fundamentals—useful for mentoring, reviews, and cross-team collaboration.
PHP Perl JavaScript HTML/CSS C# SQL
Current projects and tech
Current projects and tech
OpenWeb UI
is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs.
Ollama
is an application which lets you run offline large language models locally.
Model Context Protocol
CP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.
Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks.
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