Felipe D.
Back-end and Systems Engineer

Skills

Node.js

Cascading Style Sheets

Fortran

Html

Javascript

Python

C++

Mysql

Mongodb

React

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Bio

Master's degree in Applied Computing and Bachelor of Computer Science, with over six years of experience focused on developing tools and simulation models for the agricultural sector. Possesses extensive expertise in programming languages including Python, C/C++, JavaScript (NodeJS, jQuery, TypeScript), HTML, SQL, R, and CSS, with a specialization in web application development. Demonstrates solid skills in data analysis routines and server maintenance, and possesses comprehensive knowledge of embedded systems, IoT (Internet of Things), modeling and simulation, as well as both relational and non-relational databases. Proficient in developing RESTful Services and has experience as a university professor teaching courses in Systems Analysis and Development. Additionally, is adept in data collection and manipulation projects, including high-performance computing initiatives.

Developer
7/1/2023 - Present

Developed solutions for managing the execution of reservoir models in HPC environments and integrated systems through SaaS and APIs. Utilized C++ and Python for development and implemented container technologies such as Docker and Singularity.
professor
2/1/2023 - 7/1/2023

Held the role of full professor in the Systems Analysis and Development course, responsible for delivering lectures, mentoring students on assignments and projects, designing the syllabus, and evaluating student performance. Maintained up-to-date knowledge on the latest trends and advancements in Systems Analysis and Development to ensure the curriculum remained relevant and students were well-prepared for the job market.
Developer
4/1/2021 - 5/1/2023

Developed an API to calculate the economic viability of using phosphate in soil, utilizing NodeJS with NestJS and Typescript technologies. Implemented JWT for secure authentication and managed a MySQL database hosted in a Docker container. Created a web application for analyzing economic viability, leveraging the R programming language and the Shiny platform to develop interactive interfaces.
Developer
12/1/2020 - 1/1/2023

Specialized in developing low-power IoT devices utilizing LoraWAN communication for connection to long-range networks. Executed the development of generic simulation models for diseases affecting Soy and Wheat in Rio Grande do Sul, leveraging the programming languages C++ and R. Developed an API for data access and management of devices and modeling results, employing NodeJS technologies with NestJS and Typescript, alongside JWT for authentication and a MongoDB database. Created a web application for data access and device management, utilizing NodeJS and React. Demonstrated expertise in developing RESTful services and web applications.
Consultant | Data Analyst
5/2/2017 - Present

Developed generic simulation models for diseases affecting wheat, rice, and garlic across regions in Brazil and Asia using C++ and R programming languages. Created an early warning system for disease risk tailored to Asia, leveraging risk forecasts from the models and facilitating alerts and actionable suggestions via Email and SMS through NodeJS and R languages. Engineered an API for climate data management, model execution, user access, and map and report generation using NodeJS with Express, JWT, and MongoDB. Designed a web application for visualizing model results using NodeJS with Express and EJS, complemented by HTML5 and CSS. Built automated tools for climate data collection, processing, and analysis utilizing R and Python. Managed and maintained the Linux server infrastructure, and generated comprehensive reports based on field experiments.