us.graph.md - history

brief history

Working with R&D at graph md, since 2019, working on the development of the architecture of graph.md's complex diagnostic support ecosystem, as the project's medical data scientist.

Since then, the daily goal of my work has been to develop technology for creating the complex digital healthcare ecosystem through the super app graph.md, which always seeks to help people take care of their health. For over ten years, I have reviewed scientific articles at conferences, such as the Brazilian Computer Society, and in national and international journals, such as JHI (Journal of Healthcare Informatics).

Experience in the market, working directly with clients and specialists, in high-tech teams. Significant investment in projects of national and international relevance, approved in partnership with companies such as neo4j. Creation of multiple intelligent complex digital ecosystems.

The study of top-level technology, such as that produced at MIT, Santa Fe University, and the Israel Institute of Technology, has enabled the development of the innovative complex digital ecosystem of graph md with Data Science for knowledge storage and predictive edge analysis, which is the highest level of current AI. It is always expected to present the most important technological concepts, respecting the level of abstraction necessary for understanding by people with different levels of knowledge.

Professor, since 2013, of the undergraduate and graduate courses at the Faculty of Technology, in the Computer Engineering course, for ten years, during this period it was possible to develop skills to multiply knowledge, always looking for ways to simplify complex concepts, teaching: logic; programming in Java and Python; and AI. The challenge was to be on the front line working remotely, in classes for more than 50 students, and developing projects with fully remote teams during the pandemic period. The countless joys, remembered with honor from this period, were the moments in which the students paid tribute, through the election of Professor Paraninfo.

They are believing that there can be no differences between people, both in the academic and professional worlds. Respect and diversity are basic premises of high-level projects. Working with AI means working with knowledge, and the construction of knowledge, in a practical way, reverses the learning process, bringing the possibility of discovering new things with opportunities for growth within teams and with clients. In this sense, the exchange of information allows for the understanding of needs and their respective intelligent solutions.

areas of experience

Health
Artificial Intelligence
Graph Data Science
Knowledge Engineering
Complex Systems
Graph DB Neo4j
Knowledge management
Diagnostic Aid Systems
Computational Logic
Java Spring Data
Thymeleaf, Reactive and webflux
Medical Digital Ecosystems
Telemedicine

professional

2019 - Current: Job: Director, Hours: 40; full-time.

Activities:

Specialist in GDS, Java Development, Spring Data, React, and others. Knowledge Engineer using CQL (Cypher Query Language), Graph DB, and neo4j. Knowledge Management, Creation of Digital Medical Ecosystems, and telemedicine.

Action:

Graph Data Science Specialist in AI applied to Health systems and telemedicine, development of the super app graph. md and the creation of complex and intelligent medical digital ecosystems.

Note: the formal name of graph md is Daniel da Silva Cotrim Informática Ltda with CNPJ: 33.026.380/0001-92.

Murialdo College - ILEM

2016 - 2017: Staff: Professor, Hours: 18, Regime: Part-time

Activities: Professor of the Bachelor's Degree in Systems Analysis and Development.

Subjects taught: TCC Guidance, Web Programming, and Systems Security.

Role: Responsible for the implementation project of the Google Education Educational Environment throughout the academic institution.

University Center of Technology

2013 - 2023: Staff: Undergraduate Professor, Hours: 20, Regime: Part-time

Activities: Professor of the undergraduate course in Computer Engineering.

Subjects taught: Algorithms and Programming, Artificial Intelligence (Python), Computational Logic, TCC Guidance, Object-Oriented Programming (Java), Database, Systems Analysis and Project Management.

2019 - 2023: Postgraduate Professor

Subjects taught: Artificial Intelligence, Deep Learning, Machine Learning and Business Intelligence.

Role: Coordinator of the Distance Learning Systems Analysis and Development Course and implementation of the Distance Learning Digital Educational Environment.

TOTVS Health at Tecnopuc in Porto Alegre

2011 - 2013: Employment: Formal CLT, Functional; Framework: Data Scientist; Systems Architecture; Hours: 40.

Activities:

Data Scientist specialized in the health area. Architect of the Development of the Hcor Diagnostic System.

Occupation:

Responsible for the implementation of the electronic medical records of patients at the Hospital do Coração in São Paulo.

Note: to find out more about the activities performed as a Data Scientist in the health area by Totvs, see the projects item.

Pontifical Catholic University of Rio Grande do Sul - PUCRS

2008 - 2011: Employment: Formal CLT, Functional; Framework: Researcher in the health area; Hours: 30, Regime: Part-time.

Activities:

Research and development of systems in the health area. Same observation as item 4 (previous): to find out the details of the activities carried out as a researcher at PUCRS University, see the projects item.