Paulo F.Machine Learning/AI Engineer
Skills
Expert in Artificial Intelligence and Data Science with eight years of industry experience and over fifteen years of proficiency in programming languages such as Python, Java, and Delphi. Holds a Bachelor's degree in Computer Systems and a Master's degree in Systems Engineering and Computing. Past work involved the development of intelligent routing systems, utilization of AI for learning service windows, and pattern recognition in delivery photos and invoices. Presently focused on developing intelligent systems for HR data management.
Backend Developer Specialist
9/1/2021 - 12/1/2023
Specialized in understanding and evaluating data to obtain insights and develop solutions in the logistics domain. Demonstrated expertise in various technical tools and frameworks such as AWS, S3, RDS, and Kubernetes. Engaged in extensive research in Artificial Intelligence and Big Data, leveraging these technologies to optimize logistic processes. Developed advanced data analysis techniques and implemented machine learning models, ensuring scalable and efficient data handling and processing within logistics operations. Utilized cloud services to manage and deploy large-scale data infrastructures, contributing to streamlined operations and enhanced decision-making capabilities.Researcher and Developer in AI and Data Science
7/1/2019 - 8/1/2021
As a Data Scientist and AI Researcher, honed expertise in analyzing and interpreting complex datasets to generate actionable insights and develop innovative solutions within the Human Resources sphere. Leveraged advanced algorithms and machine learning techniques to enhance data-driven decision-making processes. Developed proficiency in utilizing MongoDB for efficient data storage, retrieval, and management. Contributed to the deployment and optimization of AI models and big data frameworks, integrating sophisticated analytical tools to refine HR strategies and outcomes.AI Researcher
10/1/2016 - 7/1/2019
Developed proficiency in Python, R, and SQL. Extensive work on machine learning frameworks such as TensorFlow, Keras, and PyTorch. Demonstrated skills in data visualization tools like Tableau and Power BI, along with expertise in big data technologies including Hadoop and Spark. Engineered and fine-tuned predictive models to optimize logistics operations, resulting in significant cost savings and efficiency improvements. Utilized advanced statistical methods and algorithms for data analysis and insights extraction. Ensured collaborative development and version control using Git. Implemented automation scripts and data pipelines to streamline data processing workflows. Conducted comprehensive research and presented findings to key stakeholders, driving data-driven decision-making within the logistics domain.
Systems and Computer Engineering at Federal University of Rio de Janeiro
2012 - 2015Computer Systems Technology at Fluminense Federal University
2009 - 2011
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