Aleksandar Djabirski

Aleksandar Djabirski

Team Lead · Azure Engineer · .NET Architect · AI Enthusiast

With over 12 years of experience in software development, I am a highly skilled Team Lead specializing in .NET development. I have played a pivotal role in product development, leading technical initiatives, mentoring team members, and driving innovation. In my free time, I enjoy experimenting with AI projects to explore new possibilities.

Experience

Team Lead

Jun 2018 — Present
Horeko

Drove the modernization of our platform's architecture by migrating Azure Functions to v4, upgrading class libraries to .NET Standard 2.0 and transitioning the API and web projects to .NET Framework 4.8. Played a key role in transitioning from Database First to Code First with Entity Framework, improving development flexibility. Focused on optimizing database performance and integrating Azure services like Pipelines, Key Vault, and Blob Storage. Worked on CI/CD pipelines using Azure DevOps, resulting in more efficient deployments, while mentoring a team of developers to deliver high-quality software in an Agile environment.

CTO

Jun 2017 — Jan 2022
Xessable

Designed technical assessments and selected testing platforms to vet candidates against each client's technology needs. Conducted interviews, mentored team members, and promoted continuous learning. Collaborated with clients to define their ideal tech stacks, drove the research and integration of tools and equipment for internal processes, and represented the company at industry events to strengthen client and community relationships.

.NET Developer

Sep 2015 — May 2017
Personal Programmer

Developed .NET applications and solutions with C#, ASP.NET, and Microsoft SQL Server.

Highlights
  • Established an automation framework using Selenium, enhancing development workflow and test coverage
  • Accelerated system integration with NSwag to auto-generate methods and classes for third-party API connections
  • Optimized database performance by refining stored procedures and tables in T-SQL, resulting in faster query execution
  • Modernized .NET architecture from .NET Framework 4.6 to .NET Standard 2.0, setting the foundation for .NET Core migration
Skills
Microsoft AzureC#.NETSQL / T-SQLEntity FrameworkAzure FunctionsASP.NETSoftware ArchitectureWeb DevelopmentOOPAgile
Certifications
Microsoft Certified: Azure Fundamentals
Azure Fundamentals
Microsoft · 2023
Professional Scrum Master I
PSM I
Scrum.org · 2022
Latest Posts
Building a Local Multi-Agent Research System: LangGraph, Langfuse, and Open-Source LLMs
Feb 2026
A deep research agent built with LangGraph, Qwen3-30B running locally via LM Studio, and full execution observability through Langfuse. This post walks through four patterns that matter for production agentic systems: multi-agent orchestration, the human interrupt pattern, clean context management, and agent observability—all running at zero API cost.
LangGraphMulti-AgentLangfuse
Building an Evidence-Based Health Knowledge Graph: Where AI Meets Longevity
Nov 2025
Healthcare and longevity have always fascinated me. This project combines my passion for evidence-based health with AI—building an intelligent system that answers health questions using actual PubMed research papers, powered by Neo4j knowledge graphs and local LLM inference.
PythonGraphRAGNeo4j
Automating Invoice Data Extraction with Azure Form Recognizer and GPT-4o-mini
May 2025
In this project, I automated the extraction of ingredient details such as name, unit, quantity, and price from invoices using Azure's Form Recognizer and GPT-4o-mini. The solution leverages state-of-the-art AI models to improve accuracy when data is incomplete or not recognized by default. In this article, I'll explain the choices behind the tools I used, the workflow, and the cost breakdown, making it easy for others to replicate and scale a similar solution.
Azure Form RecognizerGPT-4o-miniAI Invoices
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