Responsible for leading and managing the development of innovative products and technologies in the areas of Computer Vision, Artificial Intelligence, and Hardware. Assembled and led a team of researchers, engineers, and product managers that created cutting-edge solutions and drove revenue growth and optimized operations for the company.Key Achievements:- Successfully integrated OCR/LPR on Edge Gabriel Stack and Retina Vision technology, generating a new revenue stream for the company.- Developed Automatic Anomaly Camera Detection, increasing camera streaming and storage availability by 98% and reducing OPEX costs.- Implemented Motion Detection Storage, reducing OPEX average costs by 30% and optimizing storage usage.- Enhanced Video Metadata tagging, increasing the speed and efficiency of searching scenes in our video footage by 40%.- Deployed mobile deep learning applications to our Raspberry and Snapdragon CM, with a focus on edge-first solutions.- Built and managed the entire ML pipeline for developing and serving our ML models to our edge infrastructure with low latency.- Managed and produced the new Hardware Camaleão 2.0 with more than 400 units produced and operated on field; - Managed the develop of the Hardware Barrier Sensor 2.0, which increased average accuracy in invasion events.- Rebranded Gabriel's main product with the development of the new Mechanical Camera Support.- Managed the implementation of OAuth 2.0, LoD (Live On-Demand), reducing OPEX costs by 95% and following security best practices.- Successfully designed and implemented an inclusive hiring program for interns, resulting in a diverse pool of over 50% female, black, and foreign hires in the R&D teams.These achievements were realized through strategic planning, effective leadership, delegation, team, project and product management. Continually research and stay up-to-date with industry trends and advancements to ensure that our R&D efforts remain innovative and competitive.

Responsible for defining curriculum, creating material, and doing lectures on the topics of Deep Learning, Neural Networks, Computer Vision and Natural Language Processing for over 100+ students.

Acquired by GabrielAs CTO, I was responsible for planning, developing, maintaining, and deploying the AI SaaS platform, while continuously seeking ways to improve it. In addition to my technical role, as a founder I also participated in strategic planning for the company's growth and development of other areas, including sales, marketing, operations, customer experience and people.Our user-friendly AI SaaS platform is dedicated to license plate reading (LPR/OCR) algorithms for vehicle monitoring in the B2B sector. It has successfully improved automobile management, control, and safety for logistics companies, parking lots, corporate buildings, and the public sector on and off the streets.Key Achievements:+ $100K+ raised in seed round from the biggest insurance company in LATAM, Porto Seguro, the biggest accelerator in Silicon Valley, Plug 'n' Play, the prestigious research organization in Brazil, FAPESP, and the Brazilian State of Minas Gerais.+ 6+ Brazilian states used for automate the process of vehicle management;+ 3 million monthly plate reads by the platform;+ Acquired by Gabriel and raised a Series A funding with Softbank;

My responsibility involved exploring and testing innovative technologies and ideas to bring about innovation in the education sector. I played a vital role in the entire lifecycle of the project, ranging from ideation and development to production, testing, and deployment. Collaborating closely with cross-functional teams, I ensured the delivery of top-quality products within the clients' specified timeframe, while strictly adhering to industry standards.Key Achievements:- MiraTag is a cutting-edge system that digitizes and manages a vast bank of over 10,000 questions and answers related to math and Portuguese subjects. I have been responsible for building the system from the ground up, which included designing the architecture and implementing it with a focus on scalability and reliability.- Mira Aula, a breakthrough mobile app that uses OMR computer vision technology to automatically correct lists of answers using smartphone cameras. This system has been instrumental in correcting over 2.5 million tests in more than 2 thousands schools across Brazil, making it a highly innovative solution for the education sector.

Responsible for developing and implementing data-driven solutions that added value to the business and improved decision-making processes. Played a key role in maintaining data visualization dashboards using Tableau, managing the data warehouse through Google BigQuery, and structuring data pipelines with Airflow. Led the development of a product recommendation system using email campaigns, which provided customers with personalized product recommendations based on their engagement with the platform with an average conversion rate of 8%.

- Supervise daily operations to ensure a smooth workflow and oversee task execution.- Establish and implement effective policies and structures to promote the company's growth.- Work with department heads to develop industry best practices for successful banking operations.- Lead projects such as system analysis, identification and specification of improvements, and coordination of testing and implementation of new systems.

- Scholarship from FAPESP and CNPq- Participated on Neuronanobiotecnologia's group- Labelling and quantification of nanoparticles- Tracking using RMN image tecnique- Development a GUI in JAVA for quantify nanoparticles