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Natã S.
Full-stack Product Engineer

Node.js
Flutter
React Native
Typescript
Java
Javascript
Python
Angular
React
Bio

A seasoned Full Stack Developer with a focus on computing, artificial intelligence, and data, specializing in artificial intelligence, mathematics, and efficient algorithms. Proficient in web and mobile programming, with extensive experience in multimedia streaming, financial and banking systems, and university systems. Dedicated to the continuous study of new technologies, optimization techniques, and best practices for developing high-performance systems.

  • Mid-Level Developer
    2/1/2022 - 2/1/2024

    Developed expertise in the financial and banking sector, with a focus on implementing and maintaining robust financial systems. Specialized in gold trading applications and platforms. Gained extensive experience with financial modeling, risk assessment, and compliance protocols. Utilized advanced tools and frameworks, including but not limited to, SQL for database management, Java and Python for backend development, and AngularJS for front-end solutions. Demonstrated proficiency in using financial software such as Bloomberg Terminal and trading platforms like MetaTrader and NinjaTrader. Contributed to secure transactional processes by integrating encrypted communication channels and multi-factor authentication systems. Applied machine learning algorithms for predictive analytics and risk management to enhance decision-making processes. Ensured seamless integration of APIs with third-party financial services and adhered to comprehensive regulatory standards such as AML (Anti Money Laundering) and KYC (Know Your Customer).

  • Researcher
    3/1/2020 - 12/1/2023

    Pioneered the development of an artificial intelligence solution designed to predict diseases within Intensive Care Units (ICU). Cultivated expertise in machine learning algorithms, focusing on predictive modeling and data analysis. Leveraged Python and its libraries, such as TensorFlow and Keras, for model creation and training. Gained proficiency in handling large, complex datasets and performing data preprocessing using tools like Pandas and NumPy. Utilized SQL for database management and optimized query performance for rapid data retrieval. Collaborated with healthcare professionals to understand clinical needs and integrate domain knowledge into data-driven models. Ensured the robustness and accuracy of predictive algorithms through rigorous testing and validation. Implemented version control and collaborative code development using Git. Employed cloud-based services for scalable storage solutions and computational resources. Conducted extensive literature reviews to stay current with the latest advancements in medical AI research.

  • Full Stack Developer
    3/2/2019 - 12/1/2019

    Participated in the development of event control and authentication applications for a university, collaborating extensively with the team to deliver robust solutions. Enhanced technical proficiency in front-end and back-end technologies throughout the project. Leveraged tools and frameworks such as Angular for front-end development, Node.js for server-side operations, and MongoDB for database management. Demonstrated ability in integrating authentication protocols and maintaining secure user sessions. Implemented RESTful APIs to facilitate seamless communication between client and server. Managed code versions using Git and employed continuous integration practices to ensure smooth deployment and maintenance of the applications.

  • Researcher
    11/2/2018 - 12/2/2019

    Specialized in the research of algorithms and theory with a focus on graphs, optimization, heuristics, and networks. Developed advanced proficiency in algorithm design and analysis, delivering innovative solutions to complex graph and network problems. Applied optimization techniques to improve computational efficiency and efficacy of algorithms. Leveraged heuristic methods to provide approximate solutions for NP-hard problems. Conducted extensive theoretical and empirical research using various graph theory concepts, contributing to the development of new models and frameworks. Utilized Python, C++, and MATLAB for algorithm implementation, data analysis, and simulation. Collaborated in a multidisciplinary team environment, ensuring rigorous validation and peer-reviewed publication of research findings.

  • Computer Science at Federal University of Ceará
    2016 - 2019

  • Bachelor of Computer Science - Artificial Intelligence at State University of Ceará
    2020 - 2022

  • Cloud Computing at Huawei
    6/1/2021

  • Computer Network Technician at EEEP Manoel Abdias Evangelista
    1/2/2016

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