João A.Data Scientist
Skills
A Machine Learning Engineer with over three years focused on developing advanced Machine Learning solutions for business applications, specializing in Natural Language Processing. Responsibilities have included leading the full development lifecycle of machine learning applications, incorporating research, neural network training to achieve state-of-the-art performance, and the integration and deployment of APIs for model inference and result delivery.
Publication credentials include contributions to major Machine Learning conferences, highlighted by receiving the Best Paper award at KDMILE as the first author.
Engages in competitive programming, an activity that has refined logical thinking and an in-depth understanding of data structures, earning recognition such as a gold medal at the Maratona Mineira de Programação.
Proficient in Python and C++, with demonstrated adaptability to new programming languages for various academic and professional projects. Skillsets also encompass areas like Back End development and low-level application optimization, underscored by a reputation for developing efficient and well-optimized code.
Characterized as proactive and eager to learn, consistently ready to tackle new professional challenges with a robust passion for computing.
Machine Learning Engineer II
8/1/2023 - Present
Served as a lead member of the NLP team, spearheading research, development, and implementation of machine learning models critical to multiple company products. Oversaw the creation and upkeep of APIs essential for exposing these models. Developed expertise in natural language processing and machine learning frameworks, contributing to the continuous enhancement of AI-driven solutions. Utilized tools such as Python, TensorFlow, and PyTorch to build and refine models. Ensured robust API development and maintenance using technologies like Flask and FastAPI, facilitating seamless integration with various applications.Natural Language Processing Intern
2/1/2022 - 8/1/2023
Focused extensively on the research and development of machine learning techniques aimed at extracting and analyzing data from both structured and unstructured documents. Developed proficiency in Python, TensorFlow, and PyTorch, applying these tools to create sophisticated models for data extraction. Leveraged natural language processing (NLP) frameworks, such as spaCy and NLTK, to handle text data efficiently. Implemented deep learning algorithms for image and text recognition, utilizing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Utilized Apache Spark for large-scale data processing and analysis. Conducted experiments using Jupyter Notebooks for code development and result visualizations. Applied advanced data preprocessing techniques, including tokenization, lemmatization, and vectorization, to improve model accuracy. Integrated models into production systems using Docker and Kubernetes for scalability. Focused on continuous improvement by conducting model evaluations with precision, recall, F1 score, and cross-validation techniques. Demonstrated significant expertise in handling various data formats, such as JSON, XML, and CSV, to ensure seamless data integration.Data Science Researcher
7/1/2019 - 2/1/2022
Developed expertise in Data Science and AI research with a focus on Applied Computing for Medicine and Health, specializing in Natural Language Processing, Neural Networks, and Machine Learning. Contributed to academic publications extensively within these fields. Conducted research under the guidance of a leading expert, the head of the Computer Science Department at a prominent academic institution.
Computer Science at Federal University of Minas Gerais
2019 - 2023Computer Science at Federal Center for Technological Education of Minas Gerais
2016 - 2018
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