Help & Supportcareers@gravityer.com
Software Engineer with less than a year in Web Development & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A motivated and detail-oriented Computer Science Engineering student with a strong foundation in programming, web development, and problem-solving. Passionate about learning emerging technologies and building efficient, user-friendly software solutions. Eager to contribute to real-world projects and grow as a software engineer in a dynamic organization.
Academy for Technical and Management Excellence College of Engineering Mysore
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Sadvidya composite pu college, Mysore
Pre University
June 1, 2020 – May 31, 2022
Transport Management System
June 1, 2025 – June 1, 2026
Developed a static website titled "Transport Management System" to explore emerging management technologies in vehicles, using HTML and CSS. The project showcases efficient layout design and provides an introduction to how transport data can be organized and presented digitally
Disease Detection and Yield Prediction System
June 1, 2025 – June 1, 2026
Developed a web-based application to predict plant diseases and estimate crop yield using machine learning models. Implemented an interactive React front-end for image upload and integrated Flask APIs for backend processing and result visualization. Focused on improving agricultural productivity through data-driven insights.
Java Programming Fundamentals
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of technology, from basic web design to machine learning for agriculture. This breadth suggests an openness to different problem domains. The stated eagerness to contribute and grow in a dynamic organization aligns with a positive cultural fit, but the lack of professional experience or extracurricular activities limits a comprehensive assessment.
Soft Skills & Operational Fit
The candidate's 'About Me' section indicates motivation, detail-orientation, and a passion for learning and problem-solving. Eagerness to contribute to real-world projects and grow as a software engineer suggests a positive attitude towards operational fit and continuous improvement. However, without specific psychometric test results or interview data, a deeper assessment of soft skills and operational fit is limited.