Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
human_arm_imitation
August 21, 2020 – November 13, 2021
human_arm_imitation — GitHub repository
View ProjectRF_Communication
December 11, 2019 – December 17, 2019
RF_Communication — GitHub repository
View ProjectStepper_sim
November 4, 2019 – November 4, 2019
Simulation of stepper motor on Proteus. The source code has been implemented on Keil in C language
View Projectmaze_runner
October 6, 2019 – June 27, 2020
Maze is a C library that is capable of scanning a complex maze and find the shortest path to end using Dijkstras algorithm. It can function independently as well as on any simulator or hardware. The same has been used to simulate a line follower robot on Coppeliasim ( VREP ) using its legacy remote API in C.
View ProjectLi-Fi
September 23, 2019 – April 8, 2020
Visible Light Communication implemented for sharing of data between multiple devices (text, images and other formats)
View ProjectColour_pick
November 1, 2018 – November 10, 2018
This software can tell colour values of pixels, in rgb / hsv / hsb / hex with opacity on any image. Images can be opened from pc, picked from website or clicked from camera. JavaFX based GUI.
View ProjectLidar_odometry
September 6, 2018 – September 6, 2018
Navigating a bot using LIDAR (light detection and ranging) sensor and magnetometer HMC5883. Runs on wemos d1 mini / atmega 16 - 32 independently / combined. My R&D topic for 2018. @laukik-hase @ved29
View Project3D_mapping
July 14, 2018 – September 20, 2018
3D mapping using Lidar TFmini. Softwares: matplotlib(python) / processing. Microprocessor: Wemos D1 mini / Atmega16 / Atmega32. Motors: stepper / servo. Motor driver: A4988.
View ProjectCultural Fit Analysis
The candidate's profile shows a strong inclination towards personal, hands-on projects, particularly in robotics and embedded systems. This demonstrates a passion for the field and a proactive learning approach. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or fit within a structured team environment. The projects align well with the technical demands of an Embedded Software Test Engineer role, indicating a potential for strong technical contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and initiative in personal projects, which could suggest self-motivation and problem-solving abilities. However, there is no information on teamwork, communication in a professional setting, or adaptability.