Help & Supportcareers@gravityer.com
Software Engineer with less than a year in AWS, Machine Learning, and Database Management.
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 Information Science student with strong programming and software development skills. Quick learner with excellent problem-solving abilities, seeking an entry-level role to apply technical knowledge and contribute to organizational success.
Sri Krishna Institute of Technology
Bachelor of Engineering · Information Science
August 1, 2021 – July 1, 2025
Dhanusha Science Campus
Intermediate (+2) · PCBM
August 1, 2017 – June 1, 2019
I Studio
AWS Intern
February 23, 2025 – June 28, 2025
India
Lung Cancer Detection Using Machine Learning Techniques
November 1, 2024 – November 1, 2024
Developed a scalable machine learning model utilizing Convolutional Neural Networks (CNNs) for accurate analysis of medical imaging data. Integrated the trained model with a Flask-based RESTful API and interactive web interface for real-time prediction and user-friendly diagnosis support. Integrated the predictive model with a Flask-based RESTful API and an interactive web interface for real-time disease detection and user interaction.
View ProjectStudent Management System
September 1, 2023 – September 1, 2023
Designed and implemented a relational database management system (RDBMS) to systematically manage student records, academic details, and course data. Developed CRUD functionalities and modular APIs for efficient data retrieval and manipulation within a dynamic AngularJS frontend and Flask backend environment.
Drone Technology Innovation Challenge
Unknown
June 1, 2026 – Present
Completed AWS Intern
I Studio
June 28, 2025 – Present
Participated in Project Exhibition “ANVESHANA - 2025"
Research and Development cell SKIT
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse areas like machine learning for medical imaging and traditional student management systems. The AWS internship indicates a willingness to learn and apply cloud technologies. The certifications, including participation in project exhibitions and a drone technology challenge, suggest an proactive and engaged approach to learning and innovation. This breadth of interest and engagement aligns well with a culture that values continuous learning and diverse problem-solving.
Soft Skills & Operational Fit
The candidate lists several soft skills including communication, leadership, problem-solving, and teamwork. While these are positive indicators, there is no direct assessment data to validate their operational fit or the practical application of these skills in a professional setting beyond self-declaration. The academic projects and internship suggest some level of collaboration and problem-solving.