Help & Supportcareers@gravityer.com
Former SWE Intern @ Microsoft | Former Chief Engineer @ Team AVERERA | Software Autonomy @ Cornell Electric Vehicle
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cornell Electric Vehicle
Mobile Application Developer
June 14, 2026 – Present
Cart-E-prototype-data
May 14, 2024 – May 14, 2024
Cart-E-prototype-data — GitHub repository
View ProjectRahulGoel2000.github.io
January 26, 2024 – May 15, 2024
RahulGoel2000.github.io — GitHub repository
View ProjectAthletics_record
February 2, 2023 – February 28, 2023
Athletics_record — GitHub repository
View ProjectSBLS-Smartphone-Bot-Localization-system
September 3, 2022 – November 22, 2022
Data extraction from smartphones and GPS and Accelerometer data "fusion" with Kalman filter.
View ProjectHAIS-Autonomous-Health-Assistance-Integrated-Sub-system
March 12, 2022 – November 22, 2022
Cognitive boost for autonomous vehicles. System to monitor passengers heath.
View ProjectLocalisation_ws
November 21, 2021 – December 18, 2021
Fusion of GPS, IMU and UWB using Robot localistaion package.
View ProjectTorque-Vectoring-and-dashboard
July 26, 2021 – September 5, 2022
The repository consists of code for implementation of a PID based electronic differential for a rear wheel driven Electric vehicle.
View ProjectVideo_Streaming_web_Interface-WebRTC
July 10, 2021 – March 23, 2023
https://submisson-rahulgoel.herokuapp.com/
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards robotics, autonomous systems, and data fusion, which might indicate a preference for technically challenging and innovative environments. The personal projects demonstrate initiative and a self-driven learning approach. However, the breadth of projects directly related to typical mobile application development (e.g., UI/UX, API integration, state management in mobile apps) is limited, which could impact cultural fit for a standard mobile app development team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric test results are available.