Daniel M.
Full-stack Product Engineer

Skills

Node.js

Javascript

Python

C++

Amazon Aws

React

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Bio

Holds a Bachelor’s degree in Computer Engineering from the University of Brasília, with two years of professional experience in security and network infrastructure. Currently engaged as a researcher in the Facial Recognition team within the Department of Computer Science at the University of Brasília. Possesses expertise in image processing, cloud computing development, web and mobile development, and network automation. Also conducts studies on AWS tools for applications in Serverless Computing.

Education includes a Bachelor’s degree in Computer Engineering from the University of Brasília, focusing on facial recognition, deep learning, and image processing. Technical skills encompass programming languages such as Python, JavaScript/Node.js, C, and Assembly. Familiar with technologies and tools such as Fortigate Security, FortiAnalyzer, AWS Lambda, Amazon API Gateway, and AWS Amplify. Experienced in using platforms like Heroku, and proficient in regular expressions (Regex), continuous integration (CI), and network automation frameworks like Nornir.

Data Engineer
3/1/2023 - Present

Developed interactive dashboards for visualization and analysis of real-time data using Python. Structured and optimized health data to facilitate informed strategic decision-making. Utilized Agile methods for daily collaboration with multidisciplinary teams, ensuring effective data management and support for information-based decision-making. Applied machine learning techniques to enhance public health management in the Federal District.
Research Student
8/1/2022 - Present

Developed advanced expertise in biometric recognition systems through rigorous research and development activities. Utilized a variety of tools and frameworks including machine learning algorithms, computer vision techniques, and signal processing methods. Conducted extensive work with Python and MATLAB for algorithm development and data analysis. Leveraged OpenCV and TensorFlow for implementing and testing biometric recognition algorithms. Employed SQL and NoSQL databases for managing large-scale biometric data sets. Ensured collaborative research and development through the use of Git and JIRA. Contributed to both academic and industry advancements by establishing partnerships and training specialized human resources.
Training Engineer
8/1/2021 - 11/1/2021

Developed practical experience in technology development and problem solving for private companies. Acquired proficiency in agile methodologies such as Scrum, Kanban, and XP. Utilized project management tools like Trello and Slack for effective team collaboration. Advanced development skills in Python, covering automation, data analysis, and scripting for complex tasks. Gained significant experience with the AWS platform, managing cloud services and implementing cloud-based solutions. Demonstrated practical knowledge in embedded systems, with the ability to program, debug, and optimize systems at the hardware level. Proficiency in JavaScript and Node.js, leading to the development of scalable and high-performance web applications.
Network Security and Infrastructure Intern
2/1/2021 - 1/1/2023

During tenure as a Network Security and Infrastructure Intern at a major legislative chamber, hands-on experience was gained in documenting and configuring an extensive range of network components, including servers, rooms, and network cores from racks to switches. This involved migrating an old network infrastructure to a new one utilizing Fortinet technologies. This role required proficiency in managing and integrating new technologies into the pre-existing network infrastructure.

Key technical skills developed include proficiency in network documentation using NetBox, and creating monitoring frameworks in C and Python. Practical experience was also acquired in network automation using Nornir, and the implementation of a new network infrastructure with Fortinet technologies. Additionally, a critical project involved collaborating with a development team to migrate essential resources to the cloud, facilitating a deeper understanding of container orchestration with Kubernetes and the deployment of continuous integration/continuous deployment (CI/CD) pipelines using Jenkins.