Paulo Henrique Dos Santos, M.Sc. Email & Phone Number

State Of Minas Gerais, Brazil

Belo Horizonte, Minas Gerais, Brazil

Belo Horizonte, Minas Gerais, Brazil

Keeping the good work accomplished in the IoT team, I am now focusing more on Computer Vision projects. I utilize Deep Learning, Python, Pyorch, and Tensorflow to develop end-to-end computer vision solutions for the harsh environment of the steel industry. These solutions include classification, object detection, OCR, defect detection, segmentation, and measurements. Additionally, I implement best practices in software engineering.In addition to my Computer Vision expertise, I also provide valuable support to IoT projects through my skills in cloud (AWS) and back-end development. This includes leveraging my knowledge of cloud technologies and back-end systems to design and implement reliable and scalable solutions.

Belo Horizonte, Minas Gerais, Brazil

As a member of the IoT and Innovation team, I worked on various projects that incorporated emerging technologies. I focused on computer vision and deep learning for real-time object recognition and classification. I also worked on back-end development using Python, Java, and Javascript, as well as RFID implementation for asset tracking and management. Additionally, I gained experience with LoraWan wireless communication technology and utilized Amazon Web Services (AWS) for cloud computing and storage to develop and deploy scalable IoT applications.

Belo Horizonte, Minas Gerais, Brazil

I had a CTO-like role at a startup where I was responsible for all technical aspects. I specialized in Universal Robots (UR) and created the first and second versions of an application (URCap) for data collection using Java and MQTT protocol. I also developed a back-end in Python with Flask and MongoDB for data processing and storage, as well as a supervisory system with Grafana for data visualization.In addition, I created a health-check platform for UR robots with various artificial intelligence tools and data science techniques for error detection and root cause analysis, using SQL Server and Azure Blob Storage. I also had experience in DevOps, hardware integrations, and soft skills such as sales, technical product presentations, and customer support.

Belo Horizonte, Minas Gerais, Brazil

-Development of a Python Modbus-TCP-Client data collector for Universal Robots CB2 with SQL;-Development of a Python RTDE data collector for Universal Robots CB3 and e-Series with SQL database and with a User Interface created with Tkinter to allow an easy setup;-Development of Anomaly Detection Algorithm. Data Analysis;-Development of Grafana Dashboards for UR robots with SQL database. Data Visualization;-Development of a Remote Access interface with VNC for UR robots.

Ouro Preto, Minas Gerais, Brasil

-Development of autonomous mobile robots in the Industrial Technology Laboratory (TECIND) with the Rodetas Robô Clube Team. The purpose was to build a team of autonomous mobile robots capable of playing soccer;-Computer Vision Development with OpenCV and C++;-Development of AI algorithms for game strategies;-Development of algorithms for Robot Path Planning;-Development and application of Control Techniques to follow the path generated for the Robots;-Development of Embedded System and Real-Time System;-Development of a Kalman Filter to fuse and improve signals;-Runner-Up of LARC 2017 (Latin American and Brazilian Robotics Competition).http://www.robotica.org.br/

Belo Horizonte E Região, Brasil

A route optimization algorithm was developed for dispatching large quantities of vehicles. It's a Workforce Scheduling and Routing Problem. The great challenge was to find a viable solution since the set of activities to be assigned as well as the set of workforce, were huge and with various types of classification. The algorithm developed in addition to minimizing the routes of all vehicles also met the various restrictions on skills, areas of expertise, available time for work, among other restrictions.The algorithms were implemented in C# because it was necessary to run together with the back end of the platform that was made in C#. The database used was Microsoft SQL Server and Entity Framework was used as an interface with the database.

Universidade Federal De Ouro Preto

Related to sports scheduling problems, the Mirrored Traveling Tournament Problem (mTTP) is an optimization problem classified as NP-Hard which aims to produce the schedule of sports tournaments with the objective of minimizing the total distance traveled by all the teams of the tournament. In this work, we had an approach that applies the metaheuristic Biased Random-Key Genetic Algorithm associated with the Polygon Method in order to solve the mTTP. The computational experiments involved the two main sets of instances from the literature and the results generated demonstrates the competitiveness of the proposed method.All the code was implemented in C++. This code is available on GitHub:https://github.com/paulosantosphs/brkga-mTTP

Universidade Federal De Ouro Preto

Back-end development of the mobile application with Java Spring.Project from 𝘐𝘥𝘦𝘢𝘭𝘪𝘻𝘦, a Computer Science Laboratory from the Federal University of Ouro Preto.Creation of the app "Eu Chef". A research and recommendation tool for gastronomic dishes."Eu Chef" started with a Master's Degree project at the Federal University of Ouro Preto in which several culinary recipes from Brazilian websites in Portuguese were collected and processed. This data was mined and saved in a MySQL database. The idea was to use this database to create a mobile application to search for culinary recipes by ingredients and dishes. What was done first was the indexing of this entire base in MySQL with Apache Lucene (NoSQL), aiming at an effective research on the back end.This project uses Spring with Lucene for an effective research for recipes and MySQL for other types of data. It has authentication by email and password and also with Facebook.This code is available on GitHub:https://github.com/paulosantosphs/eu-chef-back-end

Ouro Prêto, Minas Gerais, Brazil

Back-end development of the application with Java Spring.𝘗𝘪𝘮𝘣𝘢 was a Brazilian Startup created in September 2016. An MVP app was built and it allowed users to find the best parking slot. The startup went through some problems and in August 2017 the project finished.This code is available on GitHub:https://github.com/paulosantosphs/pimba-back-end

Master'S Degree, Mechatronics, Robotics, And Automation Engineering, 9.6

Program: PROFICAM Paper: Towards robust ferrous scrap material classification with deep learning and conformal prediction (Engineering.

Bachelor Of Engineering - Be, Mechatronics, Robotics, And Automation Engineering, 9.2

Activities and Societies: -Academic Honor: I was among the five students with the best grades in the Control and Automation Engineering.

Technician, Industrial Automation

Activities and Societies: -First place in the Innovation and Entrepreneurship Challenge 2013 with the Sistema Harpia team; -Second place.