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Software Engineer with less than a year in AI & Full Stack 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
Computer Science Engineering student and aspiring Software Developer with strong problem-solving skills and a passion for software development and AI technologies. Skilled in Python, HTML, CSS, JavaScript, and React. Completed a 90-day internship at Learners Byte Global Infosion, gaining hands-on experience in Generative AI, Agentic AI, and CodExpert. Committed to writing clean, maintainable code and continuously learning emerging technologies.
Yenepoya Institute of Technology
Bachelor of Technology · Computer Science and Engineering
December 1, 2022 – May 1, 2026
Visvesvaraya Technological University (VTU)
Bachelor of Technology · Computer Science and Engineering
December 1, 2022 – May 1, 2026
Learners Byte Global Infosion
AI & Software Development Intern
March 1, 2026 – May 30, 2026
India
Online Code IDE
June 24, 2026 – Present
Developed a real-time online IDE supporting HTML, CSS, and JavaScript using Monaco Editor & Sandpack. Implemented live preview functionality for instant code execution in the browser. Enhanced user experience with fast rendering and seamless code editing. Designed an intuitive UI for efficient web development workflow.
Face Recognition Attendance System
June 24, 2026 – Present
Developed an automated attendance system using facial recognition technology. Utilized machine learning algorithms for accurate face detection and identification. Reduced manual attendance errors by implementing real-time recognition system. Improved efficiency in attendance management through automation.
Human Emotion Recognition using Machine Learning
June 24, 2026 – Present
Built a machine learning model to detect human emotions from facial expressions. Applied image processing and classification techniques. Trained and tested model for accurate emotion prediction. Demonstrated practical application of AI in real-world scenarios.
Bharat Unnati AI Fellowship (CodeXpert + Expertpedia + GenAI + Agentic AI)
Learner's Byte Global InfoVision
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in both traditional software development (Online Code IDE) and AI/ML applications (Face Recognition, Emotion Recognition). The internship in Generative AI and Agentic AI aligns with modern technological trends. This breadth of interest and exposure to various domains suggests a potential for adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic environment. However, the experience level is very junior, which might require significant mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving skills and a commitment to writing clean, maintainable code. The internship experience suggests an ability to work on AI-powered assignments and develop technical documentation. However, without direct interview data or psychometric test results, a comprehensive assessment of soft skills like teamwork, leadership, or stress handling is limited. The psychometric test score of 0 (out of 500) is concerning and suggests a potential lack of data or a very poor performance, which needs clarification.