Technical Lead of the backend team, focused on architecting, organizing, and executing development projects at Makes AI, as well as creating new services using Artificial Intelligence Restful APIs, Webhooks, SQL, Python, Google Cloud, LLMs, Recsys, data analysis, among other technologies.Key Responsibilities:* Technical leadership of the team;* Project management and service architecture (microservices and monolithic systems);* Consulting for Makes AI on AI products;* Development of products with Artificial Intelligence;* Architect and develop microservices;* Development of bots and messaging services (Telegram and WhatsApp);* Ensuring service security, including Cloudflare;* Data engineering for ETL processes (internal and external services);* Database modeling for SQL and NoSQL structures;* Preparation of exploratory and explanatory data analysis reports for company clients (Python and Metabase);* Development of integrations with the Meta API on Makes' Omnichannel Chatz platform;* Airflow usage for ETL processes; * Creation of features aimed at enhancing the tool’s usability;* Documentation and development protocols for the tool.

Development of APIs, Webhooks, among others, within the DMP, CRM platform, and AI-integrated Chat by Makes AI.> Modeling of SQL and NoSQL database structures.> Structuring of exploratory and explanatory data analysis reports for company clients.> Development of integrations with Meta API on Makes' Omnichannel Chatz platform.> Creation of features focusing on tool ease of use and usability.> Documentation and development protocols for the developed tool.

Evaluate and build, together with the ML team, end-to-end intelligent solutions that provide significant competitive advantage.> Development and modeling of AI using natural language processing (NLP) for multi-categorization and multi-labeling.> Development and modeling of recommendation systems.> Building tests and configuring deployment environments for ML solutions.

Develop and provide financial analysis dashboards and other company data.> Ensure capacity building and operational improvement through data utilization in the Finance sector.> Creation of BI solutions with Microsoft Power BI to automate reports and analyze the data used by the Finance sector for managerial purposes.> Maintenance of PostgreSQL system and creation of databases for analytical purposes in the Finance sector.> Develop protocols and documentation for best practices and use of data analysis solutions.> Develop projects to instrument the company's data to enable data analysis by the sector.

Dashboard and KPI project design focused on business improvement and monitoring strategic resources. Insertion and implantation projects of analytical tools we key users within critical business sectors.Standard ETL procedures to make data usable and comprehensible.

Focused on building dashboards and KPIs through Microsoft Power BI, SQL, Python and else. Current ETL processing from relational database (Progress and SQL) in order to facilitate data usage and integrate it for several business areas.

Scientific initiation promoted by PIBIC/CNPq, at the associated combustion and propulsion laboratory on The National Institute for Space Research. The project is focused in the Synthesis of barium or lanthanum hexaaluminate with manganese and cobalt for the decomposition of H2O2 and / or N2O elaborated for propulsion based on monopropellants aimed for space purposes.

Estabelecer procedimentos e elaborar estruturas para a implementação e obtenção da certificação do Sistema de Gestão Ambiental no Instituto Hidrográfico.

Education-Extension Educational Project: A project to disseminate scientific knowledge

Study of the conditions of the transesterification reaction of Macaúba oil by heterogeneous acid catalysis.