🎯 As an AI engineer specialising in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents. With a background in physics engineering and strong foundations in mathematics and physics, I bring analytical rigour and precision to complex system analysis and optimisation.
🧠 My experience in the healthcare sector has provided me with deep insights into data accuracy, ethical standards, and domain adaptation. Currently, I contribute to the e-commerce industry by leveraging multilingual natural language processing and AI integrations to enhance business processes.
🔧 Areas of Expertise:
- Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) systems
- AI Agent architectures
- Multilingual Natural Language Processing (NLP) and data integration
💻 Technical Proficiencies: Proficient in Python, advanced NLP frameworks such as LangChain and Hugging Face Transformers; large model APIs including OpenAI and Claude; high-performance API development with FastAPI; containerization and microservices using Docker; CI/CD tools (GitLab, GitHub Actions); vector databases like Pinecone, Qdrant, Weaviate and FAISS; and modern AI development and operational tools including VectorShift, Dify, Flowise, Mindstudio, CrewAI, LangFlow, and MLflow.
🌱 I am committed to continuous learning and integrating cutting-edge technologies into practical business solutions.
