I am a data scientist and AI engineer specialized in the GenAI field. I have hands-on experience on Generative AI, implementing advanced RAG architectures, Multi agents systems, LLM fine tunings, and advanced AI systems. Expertise in creating advanced architectures for data ingestion and indexing in vector databases. Experience in developing metrics and tools to monitor the performance of LLM models as well as RAGs in production. Creation of clear and practical technical documentation. Extensive experience in prompt engineering to consistently improve the performance of LLMs and RAGs. Expertise with Foundation Models. Implementation of CNNs, LSTMs for time series forecasting, GANs and ML Algorithms. Actual Stack: Python, Langchain, LangGraph, Llama-index, Vector DBs, Advanced RAG and multi agents architectures, HuggingFace Transformers, Tensorflow, keras, pytorch, scikitlearn, matplotlib, seaborn, SQL, FastAPI, OCI, AWS, MLOps, LLMOps, Pinecone, QDrant, PGVector.