AI & Data Engineer

Apprentice AI & Data Engineer at the Digital Lab of ArcelorMittal, developing artificial intelligence solutions applied to industrial use cases.

• Designed and deployed a conversational chatbot and LLM agents using retrieval-augmented generation (RAG) to answer domain-specific questions in industrial contexts.
• Designed and implemented agentic AI workflows enabling autonomous and multi-step reasoning on complex industrial tasks.
• Performed reverse engineering audit of existing AI pipelines to document and improve operational systems.
• Conducted workshops on IoT and generative AI for startups and industry professionals.
• Technical environment: Python, LLM, RAG, Agentic AI systems, Keras.

Intern AI Architect at Turkish Aerospace Industries, developing AI tools and systems applied to aerospace processes.

• Designed and developed AI-assisted tools for automatic meeting notes generation.
• Authored AI design and architecture reports in an industrial context.
• Evaluated chatbot responses and overall system quality.
• Technical environment: Python, LLM, AI systems.

Member of the EPSS team at TIMC laboratory, participating in a scientific research project focused on health data analysis.

• Conducted literature review and critical synthesis of scientific articles.
• Performed statistical analyses in R language for a health-related research project on chemical substances ingested via digestive pathways.
• Developed skills in descriptive statistics, predictive modeling, and database management.
• Technical environment: R, Statistical analysis, Data processing.