I am a Senior AI Engineer specializing in Natural Language Processing (NLP), Large Language Models, and production-grade information retrieval systems. I design and deploy scalable RAG pipelines, semantic search engines, and robust machine learning architectures that bridge cutting-edge AI with real-world applications.
Beyond core AI and machine learning, I bring a strong software engineering foundation, combining advanced intelligence capabilities with full-stack web development best practices to take solutions all the way from architecture to production.
- Large Language Models (LLMs) & Generative AI.
- Retrieval-Augmented Generation (RAG) & Semantic Search.
- Natural Language Processing (NLP) & Deep Learning.
- Full-Stack Software Engineering & API Architecture.
- Machine learning and modeling: Development of predictive models, including XGBoost and Gaussian mixture models (GMM), for tasks involving complex data.
- Domain adaptation and fine-tuning: Use of transfer learning techniques to adapt pre-trained models to specialized domains, such as extracting and analyzing relevant information from electronic health records.
- Information extraction: Specialized workflows focused on named entity recognition (NER) and relationship extraction to analyze and categorize unstructured clinical and technical text.
- Generative AI
- RAG Systems
- Named Entity Recognition
- Relation Extraction
- Information Retrieval
- Sentiment Analysis
- Text Summarization
- Machine Learning
- Deep Learning
- Web Development
- React
- Django
- HTML, CSS, JS
- PostgreSQL, MomgoDB, MySQL