Natural Language Processing (NLP) tools are computational techniques and software applications designed to understand, interpret, and generate human language in a way that is both meaningful and useful. These tools leverage algorithms, machine learning, and linguistic rules to process text and speech data, enabling tasks such as sentiment analysis, language translation, text summarization, and chatbots. By bridging the gap between human communication and computer understanding, NLP tools enhance interactions with technology through more intuitive and context-aware interfaces.
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Matheus D.
Machine Learning Engineer
Skills
Html
Wordpress
SpaCy
Php
Python
Mysql
Javascript
Bio
Hire MatheusAn accomplished Machine Learning Engineer with over four years of experience in technology and three years in research, holding a Master's degree in Data Science and AI supported by the prestigious Eiffel Excellence Scholarship. Demonstrates international adaptability with professional experiences in Brazil, France, and Japan, collaborating with diverse teams across more than ten countries. Proven expertise in enhancing deep learning models, implementing natural language processing solutions, and developing robust data pipelines, with a strong proficiency in utilizing tools such as PyTorch, Azure, and Docker. Actively seeking opportunities as a Machine Learning Engineer, Data Scientist, or Data Engineer, with an openness to industrial PhDs.
Tamiris G.
Data Scientist
Skills
Postgresql
SpaCy
Mongodb
Flask
Python
FastAPI
Bio
Hire TamirisPossessing extensive experience in software engineering, this candidate expertly navigates the software development lifecycle from ideation to deployment and excels in various domains, including API development, Computer Vision, Natural Language Processing (NLP), and AI/ML applications. With a pronounced focus on Data Science, expertise in Python programming, and hands-on experience in utilizing AI/ML techniques on unstructured data types such as video, audio, and text, they are poised to drive impactful data-driven solutions. Their professional journey includes leading the development of applications for data extraction, video analytics, and the implementation of efficient database systems. Committed to generating value through data insights, they demonstrate a strong capacity for collaborating across technical and business teams to deliver refined and functional software solutions.