Help & Supportcareers@gravityer.com
Control & Automation Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tsn-validator
November 19, 2024 – November 19, 2024
A project to implement and validate robustness of a TSN network implementation for LS1021A-TSN-RD switch
View ProjectBrazilianTrafficSign
November 12, 2024 – December 11, 2024
Implementation of a YoloV8 model trained to detect and classify traffic signs in brazilian roads.
View Projectadas-udp-gateway
October 29, 2024 – October 29, 2024
This repository contains a set of modules designed to capture, transmit, and manipulate data for Advanced Driver Assistance Systems (ADAS) using UDP. The main components include a capture module, a UDP gateway, a fault injection module, and a main controller that orchestrates the entire process.
View Projectelevator_logics_search
April 9, 2024 – May 20, 2024
Elevator logics (https://archive.org/details/elevators-logic#) solver using BFS, DFS, IDDFS and A-star algorithm
View Projectlidar_object_tracking
September 27, 2023 – November 28, 2023
lidar_object_tracking — GitHub repository
View Projectnovo_pacote_lego_team
November 9, 2020 – November 27, 2020
novo_pacote_lego_team — GitHub repository
View Projectpacote_lego_team
October 22, 2020 – November 9, 2020
pacote_lego_team — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from network validation and ADAS systems to robotics and AI/ML. This breadth could indicate adaptability and a willingness to explore different technical domains. However, the projects are all personal and lack explicit team collaboration, which is a key aspect of cultural fit in many organizations. The target role is 'Backend Engineer', and while Python and C++ are relevant, the projects lean heavily towards embedded, robotics, and AI/ML, which may require some alignment for a pure backend role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an interest in problem-solving and practical application of algorithms and machine learning. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling. The focus on personal projects indicates self-motivation.