Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Python, Machine Learning and Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science Engineering (Artificial Intelligence) student with strong knowledge of Python and Machine Learning. Experienced in developing AI-powered and blockchain-based projects seeking to contribute technical expertise while continuously learning and growing professionally.
Sri Venkateshwara College of Engineering
Bachelor of Engineering · Computer Science Engineering
N/A – June 30, 2026
Narayana PU College
Pre-University Course · PCMB
N/A – May 31, 2021
National Residential college
High School · ICSE
N/A – May 31, 2019
Contriever
Internship at Contriever
June 1, 2025 – June 1, 2026
India
VisionGuard
January 1, 2025 – January 1, 2026
Developed a smart surveillance platform for security. Integrated real-time camera feeds for threat detection
Blockchain Technologies
June 1, 2024 – December 1, 2024
Designed a secure certificate verification platform. Ensured authenticity using blockchain technology principles
GENERATIVE AI AND MACHINE LEARNING
CONTRIEVER
June 1, 2026 – Present
MACHINE LEARNING CERTIFICATE
NPTEL
June 1, 2026 – Present
Certified Python Programmer
INFOSYS SPRINGBOARD
January 1, 2026 – Present
Web Development Certification
INFOSYS SPRINGBOARD
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a proactive approach to learning and applying new technologies, which aligns with a culture of continuous improvement. The internship experience suggests an ability to work on practical applications. However, the limited professional experience means there is insufficient data to fully assess cultural fit beyond a general willingness to learn and contribute.
Soft Skills & Operational Fit
The candidate lists 'Good Communication Skills' and 'Leadership' (Organized Cultural Events, Initiated Farewell for Seniors) as soft skills. While these indicate potential for teamwork and initiative, there is no direct evidence of operational fit or problem-solving in a professional technical context from the provided data.