About

Senior software engineer with 14+ years building backend-heavy systems, integrating legacy platforms, and improving delivery pipelines. I focus on reliability, observability, and APIs that age well.

Lately, I design AI-augmented workflows: structured prompting, controlled evaluation, and agentic systems integrated into production-minded environments. I value architectures that remain legible under change.

Selected projects

Experience

Software Developer, Consultant · Iris Hadar

2024

  • Led migration of a dyslexia support tool to a Chromebook-friendly PWA.
  • Integrated Google and Microsoft APIs for document manipulation.
  • Used Azure DevOps for project modeling and delivery flow.

Software Developer, Consultant · HumanIT

2021–2022

  • Java/Spring Boot services with Hibernate/JPA and SQL Server.
  • Flyway migrations and Docker-based environments.
  • Partnered with React teams on responsive UI delivery.

Software Developer & Tester · Sellegi Technologies

2015–2020

  • Legacy integration for enterprise collaboration tools (Ericsson, Volvo).
  • CI/CD pipelines on Linux AWS instances with Jenkins.
  • Automated regression testing with Selenium Webdriver and Robot Framework.

Earlier roles

Freelance / Translation / Other roles

Previous engagements include freelance web development (HTML, CSS, PHP), technical translation/exhibition support for biogas plants (Purac), and other roles.

Education

Full Stack Development AI

Lexicon Växjö | Dec 2024 – Nov 2025

Java EE, Spring Boot, Functional programming and Design Patterns, React, TypeScript, Hibernate, JPA, SQL Server, RESTful APIs, and AI-augmented development.

BSc Systems Development

University of Lund | 2001 – 2005

Additional University Studies

University of Lund

  • French (1996–1998)
  • Social Psychology (1995–1997)

Certifications

  • JIRA Server Admin (Atlassian, 2018)
  • Scaled Agilist (Scaled Agile Inc, 2016)
  • AI Engineer Agentic Track: The Complete Agent & MCP Course (Udemy, 2026)

Selected Technologies

  • Java · Spring Boot · Python · TypeScript
  • Docker · CI/CD · Observability · Git
  • Structured Prompting · Model Evaluation · Agentic Frameworks

Current explorations

I run a steady stream of experiments, mostly around AI-augmented development. These focus on reliability, controlled prompting, and behavior evaluation.

Explorables is a curated set of interactive HTML experiments generated from YouTube video URLs using a custom pipeline. The public site is a selection of the best outputs.

Probe/Fossil logging experiments
A structured capture and tagging system for analyzing LLM outputs over time. Focused on traceability, behavioral patterns, and evaluation beyond single-run prompting. Designed for local LLMs (Qwen, LLaMA, Phi) and multi-model behavior mapping.

AI-augmented development workflows
A collection of tools and techniques for building AI-augmented development workflows. Focused on structured prompting, model evaluation, and agentic systems.

GPU monitoring and observability
A setup for monitoring GPU usage and performance with Docker and Grafana. Focused on observability and performance monitoring.

Contact

Best ways to reach me: