Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning, Computer Vision, and NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MSc Computer Science student with expertise in machine learning, computer vision, and natural language processing. Proficient in Python, C, and C++, with hands-on experience in image processing and NLP projects, aiming to apply advanced technical skills in innovative AI and software development roles.
Mahatma Gandhi University, School of Computer Sciences
MSc Computer Science · Computer Science
August 1, 2023 – June 30, 2025
Mahatma Gandhi University, Sree Sankara Vidyapeetom College, Valayanchirangara
BSc Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Abdu Rahiman Nagar H S S Chendappuraya
Higher Secondary · Computer Science
June 1, 2018 – May 31, 2020
Abdu Rahiman Nagar HSS Chendappuraya
SSLC
N/A – Present
NSS MANAGEMENT SYSTEM
June 27, 2026 – Present
Built a web-based NSS management system to automate administrative tasks, improve communication, and provide analytics and reporting using HTML, CSS, PHP, Java, Bootstrap, Laravel, AngularJS, and MySQL.
MULTI LABEL EMOTION CLASSIFICATION FROM TEXT DATA BASED ON AI TECHNIQUES
June 27, 2026 – Present
Developed a multi-label emotion detection model using RoBERTa and fastText, applied preprocessing and data augmentation, handled class imbalance with Focal Loss and LLRD, and achieved a Macro F1-score of 0.70 using Python, PyTorch, Transformers, fastText, NLTK, and scikit-learn.
END-END VEHICLE MANAGEMENT SYSTEM
June 27, 2026 – Present
Designed a web application for vehicle and driver management, including scheduling, allocation, maintenance, and tracking modules, improving efficiency using Python, HTML, CSS, MySQL, and XAMPP
Multi label emotion classification from text data based on ai techniques
ICT Analysis and Application
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of technical interests, from AI/ML/NLP to full-stack web development. This diversity suggests adaptability and a willingness to explore different domains. The focus on AI techniques aligns well with an 'AI Engineer' target role. However, the lack of professional experience means there's no data to assess collaboration in a corporate setting or alignment with specific company values. The academic nature of projects might indicate a learning-oriented individual, which can be a good cultural fit for innovation-driven teams.
Soft Skills & Operational Fit
The candidate's profile indicates a strong academic drive and interest in cutting-edge AI/ML research. The project descriptions suggest an ability to work on complex technical problems. However, without professional experience or psychometric test results, it's difficult to assess operational fit, teamwork, or stress handling capabilities. Communication skills are listed as intermediate in English, which might require further validation for a senior role.