Modulai
Juliano Laganá Pinto has a diverse work experience in various industries. Juliano is currently employed as a Machine Learning Engineer at Modulai since October 2022. Prior to this, Juliano worked as a PhD student at Chalmers University of Technology from August 2017, focusing on deep learning and multi-object tracking. Juliano received a Best Student Paper Award for their research in the conference FUSION 2021. Juliano also has experience as a Private Teacher, where they taught subjects such as calculus, algorithms, linear algebra, programming languages, high-school math, and high-school physics. Juliano also conducted specialized courses on digital images and Adobe Photoshop. In addition, Juliano worked as a Scientific Researcher at Instituto Mauá de Tecnologia, where they developed aerospace technology for the CITAR project, including the simulation and analysis of brushless direct-current motors. Juliano also contributed to the development of a gasoline-powered drone by providing mathematical modeling and implementing a MATLAB simulator. Juliano's work experience showcases their expertise in machine learning, deep learning, multi-object tracking, teaching, and aerospace technology.
Juliano Laganá Pinto completed their Bachelor of Engineering (B.E.) degree in Mechatronics, Robotics, and Automation Engineering from Centro Universitário do Instituto Mauá de Tecnologia in the years 2009 to 2013. Following that, they pursued their Master's degree in Systems, Control, and Mechatronics at Chalmers University of Technology from 2015 to 2017.
Modulai
Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.