Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in machine learning, data analysis, and software quality assurance.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Engineering student with an AI internship focusing on real-world applications and UN Sustainable Development Goals. Possesses foundational skills in C++, Java, SQL, HTML, CSS, manual testing, test case design, defect reporting, Agile & Scrum methodologies, and Jira. Eager to apply machine learning, data analysis, and AI problem-solving skills to build industry-relevant solutions. Actively seeking opportunities in Quality Assurance and AI/ML.
L.D. College Of Engineering
B.E · Computer Engineering
August 1, 2022 – June 30, 2026
Shiksha Niketan School
HSC
N/A – May 31, 2022
Parveen model School
SSC
N/A – May 31, 2020
CSRBOX
AI Intern
June 1, 2025 – July 31, 2025
India
amazon clone
June 29, 2026 – Present
Created front-end for an Amazon clone application.
multiple mini projects
June 29, 2026 – Present
Built multiple mini projects.
Cultural Fit Analysis
The candidate's participation in an AI internship focused on UN Sustainable Development Goals suggests an interest in impactful work, which could align with organizations prioritizing social responsibility. The listed projects are personal and basic, indicating a foundational level of initiative. The breadth of skills is limited, but the interest in Quality Assurance and AI shows a diverse, albeit early-stage, set of interests. Overall, the cultural fit is nascent and would require further assessment.
Soft Skills & Operational Fit
The candidate's resume indicates participation in collaborative projects during the AI internship, suggesting an ability to work in teams. The interest in Quality Assurance and singing as a hobby might indicate attention to detail and a creative outlet, respectively. However, specific operational fit details are limited due to the early career stage.