Professional Overview
I have practical experience building and integrating GenAI applications, mainly focused on conversational AI, user-facing tools, and workflow automation. My work combines Python-based backend development, prompt engineering, and web interfaces to turn LLM capabilities into useful applications.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed an AI chatbot using Python and language-model APIs
- Designed prompts to improve response relevance and consistency
- Built a responsive user interface with HTML and CSS
- Tested chatbot responses and identified performance limitations
- Improved answer quality through iterative prompt refinement
Education
Field of Study: Artificial intelligence: Data science and business
Field of Study: Quantitative Methodes Applied in Sociales Sciences
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
