With over 6 years of experience in machine learning, I excel at extracting valuable insights from diverse datasets. My strong skills in python coding, statistics, and deep learning enable me to tackle complex problems effectively. Alongside my professional work, I nurture a passion for puzzles and actively participate in Kaggle competitions during my free time. Furthermore, I have had the privilege of teaching machine learning, deep learning, and data science to hundreds of students, contributing to the growth and development of future professionals in the field. Currently interested in generative AI, focusing my studies on Large Language Models, Vector Databases and Langchain.
Exponential Ventures is an American Startup that solve today's biggest problems with Exponential Technologies such as AI, HMI, Robotics, and Quantum computing. As a Machine Learning Engineer, I'm responsible for defining our products’ data architecture and AI models. I’m also the leader of the data science team, defining the tasks, controlling the environment and being their support.
I've worked or I'm working on the following projects:
CeIA is a scientific laboratory financed by private companies operating in several segments such as energy, retail, delivery, health, among others. I work part-time there as a machine learning engineer consultant, developing and researching natural language processing models.
Projects developed by me there:
Responsible for deep learning classes in the graduate course in Big Data and Machine Learning that takes place on weekends.
Responsible for analyzing data, discovering patterns and proposing solutions to business problems in many different areas, creating custom reports for clients and automating processes for data prediction or classification.
Projects developed by me there:
Research on artificial intelligence techniques for person detection, pose estimation and activity classification on imagens. During this time, it was developed the work "A complete bottom-up approach to recognizing human activities in images through the estimated pose with convolutional networks"
Software development in C / C ++ and Matlab and PCB prototyping with ATMEGA microcontrollers.
Intelligent Systems
Computer Engineering
Some of the projects I worked on and gave me experience on the following topics:
Adaptation and training of a deep learning model for a question answering system in Portuguese. Model based on Bert and Google QA Net. This system is applied in a Chatbot capable of answer questions based on unstructured texts
Training and classification of intentions present in certain phrases for Chatbots flow control
Development of a deep learning model for token classification and sequence tagging in portuguese texts
Code:Project developed for the Mercado Libre Data Challenge able to classify Portuguese and Spanish texts.
Code:Model development for natural language conversion into sql language, allowing users to perform database queries.
This work propose a single end-to-end model able to detect people, estimate their pose, and recognize each one of their activities by their pose. The experiments show that the model has reached the state of the art in the tasks of person detection and pose estimation on MSCOCO Dataset 2017, and can recognize walking, running, sitting, and standing activities with an F1 score of 0.7344
Code:Training and improvements of existing ocr models in portuguese
Classification and segmentation of different cloud types from satellite images. 22nd place solution
Code:Development of deep learning models for identification of pulmonary diseases and intracranial hemorrhage in X-rays
Big data analysis for cross-checking information from Telefônica Brasil in order to find patterns in customers with internet peer disconnection issues
Data analysis and development of machine learning model to classify possible frauds in government advance database
Development of an artificial neural network to classify arm movements from the collected intramuscular signals. This feature is part of building a myoelectric prosthesis for people with amputated arms.
Code: