Currently, I am part of the Panvel Data and AI team, where I develop intelligent agents and applications leveraging artificial intelligence to optimize corporate processes.
I work with:
User comment classification based on sentiment analysis to gain better insights into customer feedback.
Development of chatbot agents to automate and support internal company processes.
Processing large volumes of data, analyzing millions of records to get relevant information with the help of LLMs.
Maintaining backend architecture, ensuring security and stability in AI systems.
I am currently deepening my knowledge in Spring AI, Python, tool integration, prompt engineering and AI related topics, aiming to enhance the implementation and interaction of AI agents in the corporate environment. I'm also studying how data availability and structuring impact the efficiency of AI models.
Previously, I worked as a backend developer at Panvel Labs, where I was responsible for developing scalable and high-performance systems, focusing on the design and implementation of REST APIs, microservices, and integrations with other services and databases.
I actively contributed to technical decisions and collaborated with stakeholders to resolve business rule-related challenges. Among the projects I participated in, I highlight my involvement in an ESG-focused product that significantly reduced paper usage and accelerated order fulfillment by innovatively using mobile phone cameras for product sorting. Additionally, I worked on maintaining and evolving the backend architecture, ensuring robustness and efficiency in the delivered solutions.
Key Skills:
AI application development (Spring AI, Python)
Data classification, NLP, and LLMs
Intelligent agents and process automation
Backend development with Java (8+) and Spring Boot
Microservices architecture and REST APIs
Integration with relational (SQL) and NoSQL databases
Automated testing (JUnit, Mockito)
CI/CD pipelines
Agile methodologies (Scrum)More...
Cassio Lacerda
Data Enginner@Panvel
Verified
Cássio Costa
Data Engineer@Grupo Panvel
Verified
The data engineering landscape is continually evolving, and staying ahead requires constant adaptation and learning. As a Data Engineer at Grupo Panvel, it is recommended to focus on enhancing data security measures, improving data quality, and streamlining data integration processes. The implementation of advanced analytics tools can help in gaining valuable insights from the data, leading to better business decisions. Additionally, it is essential to stay updated with the latest trends and technologies in the field, such as machine learning and artificial intelligence, to maintain competitiveness. Training and development opportunities should also be sought to enhance technical skills and knowledge.More...
Felipe Gonçalves
Auxiliar Financeiro@Dell Technologies
Verified
Dell Technologies has continued to demonstrate strong financial performance with consistent growth in revenue and profitability. This is largely due to our strategic focus on high-growth areas such as cloud, data analytics, and AI. Our financial stability has been further strengthened by effective cost management and operational efficiency. However, challenges remain in the form of intense competition and rapid technological changes. To stay ahead, we need to continue investing in innovation, talent development, and customer-centric solutions. Our financial strategies are directed towards achieving sustainable growth and maximizing shareholder value.More...
Marcio Almeida
Data Enginner - Data Architect@Allmey Technology
Verified
An IT Professional for more than 25 years building systems and data solutions for many industries and domains.
Data Engineering - Data ArchitectureMore...