I bring a decade of experience in machine learning, data science, and data engineering. My expertise includes fine-tuning large language models (LLMs), object detection models, traffic forecasting models, and tabular models for various tasks. I am skilled in developing fast and efficient data pipelines for processing and crawling large datasets. Recently, I have been focused on developing Retrieval-Augmented Generation (RAG) frameworks for information extraction.
Remote: Yes
Willing to relocate: No (Yes, if Italy)
Technologies: Python, SQL, Transformes, Pytorch, Tensorflow, Keras, Jupyter, Sklearn, Spark,LlamaIndex, Langchain, OpenCV. Kubernetes, Docker
Résumé/CV: https://drive.google.com/file/d/19pS-drmhAMPXcE5ZgVy4z8qfiz_...
Email: daniel.pavlicek [at] gmail [dot] com
Hello,
I bring a decade of experience in machine learning, data science, and data engineering. My expertise includes fine-tuning large language models (LLMs), object detection models, traffic forecasting models, and tabular models for various tasks. I am skilled in developing fast and efficient data pipelines for processing and crawling large datasets. Recently, I have been focused on developing Retrieval-Augmented Generation (RAG) frameworks for information extraction.