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
LLM_World
March 3, 2024 – March 3, 2024
Create a 2D GUI to watch a local LLM explore a 2D world.
View ProjectNOCTIS
October 20, 2023 – April 29, 2024
NOCTIS is a project that utilizes a Parrot ANAFI USA to track and chase targets out of a geofenced area.
View ProjectBluetoothCar
April 6, 2023 – April 12, 2023
Bluetooth controlled RC car with video based on the ESP32-Cam
View ProjectPyPhysics
November 9, 2021 – November 9, 2021
Pure Python 2D Physics with Pyglet Graphics
View ProjectAggiEngine
September 14, 2020 – August 23, 2023
AggiEngine is a 2D game engine, designed for making game development easier!
View ProjectPyGamEngine
September 5, 2020 – September 22, 2020
A Python Based Game Engine using Pygame, Box2D & Tiled
View ProjectIntrepidClient
September 16, 2016 – September 5, 2020
A modded Abendigo client for rage, legit, and user-friendliness.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, self-directed initiatives, including game engines, embedded systems, and simulations. While this demonstrates strong technical curiosity and drive, there is no information regarding collaborative projects, team environments, or professional work experience. This makes it difficult to assess cultural fit, especially regarding teamwork and communication in a professional setting. The target role is 'Android Developer', and while Kotlin experience is present, the overall project diversity leans towards lower-level programming and game development rather than typical Android application development. This suggests a potential misalignment with standard Android development practices and ecosystem knowledge.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's extensive personal projects suggest self-motivation and a proactive learning approach.