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
AI Engineer with experience in developing intelligent applications using Generative AI, Machine Learning, Java, and Spring Boot. Skilled in building AI-powered solutions, integrating LLMs, designing REST APIs, and implementing scalable backend systems. Passionate about applying AI to solve real-world problems and automate business processes.
Pune University (SPPU)
BE · Computer science
August 27, 2021 – June 17, 2025
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of technical interests, from AI/ML applications to full-stack enterprise systems. The 'Ad-Maker Using AI-ML' project aligns well with an AI Engineering role, showcasing innovation and practical problem-solving. The 'Employee Payroll System' project, while not directly AI-focused, demonstrates strong software engineering fundamentals, including CI/CD, security, and full-stack development, which are valuable for a well-rounded engineer. The candidate's education in Computer Science and Engineering further supports a foundational fit for a technical culture.
Soft Skills & Operational Fit
The resume highlights 'Leadership, Teamwork, Effective Communication' as soft skills. The project descriptions indicate an ability to work on complex systems and integrate various technologies, suggesting good operational fit for collaborative development environments. However, without specific assessment data on these soft skills, a definitive evaluation is limited.