AI Engineer specialized in Machine Learning, NLP and LLM-based systems.
Currently working on industrial AI projects involving intelligent data analysis, automation and retrieval systems.
My work focuses on transforming complex and unstructured data into usable business intelligence through AI-driven solutions.
Main interests:
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- NLP & Transformers
- AI Agents & Knowledge Systems
- Intelligent Data Pipelines
- Applied Machine Learning
Building conversational AI systems capable of querying enterprise knowledge bases using:
- LangChain pipelines
- Embeddings & vector search
- Retrieval-Augmented Generation (RAG)
- Context-aware response generation
- Document ingestion & semantic retrieval
Developing NLP pipelines and Transformer-based models for:
- Text classification
- Sentiment analysis
- Information extraction
- Internal process automation
- Business-oriented AI systems
- Data analysis and decision-support systems
- AI-driven automation pipelines
- NLP integration in business workflows
- Production monitoring and model improvement
- AI solutions for automotive safety systems
- FMEA data analysis automation
- Technical information extraction
- Industrial Machine Learning applications
- Databricks Academy — Fine-Tuning, Embeddings and Advanced Retrieval
- LinkedIn: Walid Khodja
- Email: khodjawalid2014@gmail.com
“I like building systems that combine intelligence, engineering and real-world impact.”