About

Artificial Intelligence is the closest thing humanity has created to a new form of life. In the right hands, it has the power to amplify human capability beyond biological limits, transforming how we work, create, govern, discover, and solve problems at a global scale.

14+

Years in tech

4

Languages spoken

AI & Automation

Engineering focus

Studio portrait of Sewal Korkmaz

At the age of 11, I started participating in junior robotics competitions with my team, eventually reaching the Open European Championships. That early experience turned a natural curiosity into a lasting passion for technology, robotics, and automation. I continued that direction in high school by choosing a technical profile, and later deepened it academically by studying Artificial Intelligence at university. In 2024, I started automating internal processes for RVO (Rijksdienst voor Ondernemend Nederland, the Netherlands Enterprise Agency). In 2025, I moved further into AI consultancy and engineering, and I now focus fully on engineering, developing systems, and building practical solutions with AI. My strongest work sits where business process complexity meets technical delivery: LLM-powered tools, internal platforms, HR and payroll integrations, document workflows, and decision-support automation. I approach problems with both technical depth and business awareness, ensuring solutions are practical, maintainable, and create measurable impact.

Based in The Hague, Netherlands · sewalkorkmaz00@hotmail.com

AI & LLM

Azure OpenAILarge language modelsPrompt engineeringAI assistants

Automation

n8nPower AutomateUiPathWorkflow orchestration

Integration

REST APIsSOAP APIsODataSharePoint

Development

PythonC#Data transformationWorkflow logic

Tools

Power BIExcelAzure AI FoundryMicrosoft ecosystem

Principles

How I work

Implementation-Driven

I focus on building systems that actually work in production, not theoretical concepts.

Business-Aware

Solutions must solve real business problems and be economically viable.

Reliability First

Enterprise systems need robust error handling and data integrity.

Clear Communication

Technical solutions must be explainable to non-technical stakeholders.