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Software Engineer with less than a year in Web & AI/ML 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 undergraduate (Batch 2027) with knowledge of C, Java, Python, HTML, CSS, JavaScript, and React.js. Interested in web development, software development, and problem-solving. Currently learning MERN Stack technologies to strengthen full-stack development skills. Seeking an opportunity to apply my technical knowledge, gain industry experience, and contribute to real-world projects while continuously learning and growing.
GIFT Autonomous, Bhubaneswar
B.Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Maa Tarini Higher Secondary School
Intermediate
June 1, 2023 – May 31, 2023
Panikoili Govt. High School
Matriculation
June 1, 2021 – May 31, 2021
CTTC
Internship on AI/ML
May 1, 2025 – July 1, 2025
Bhubaneshwar, Odisha, India
OCAC
Internship on JAVA
July 1, 2024 – August 1, 2024
Bhubaneshwar, Odisha, India
Cricket Shot Prediction using deep learning
May 1, 2025 – July 1, 2025
Built a cricket shot prediction model using VGG16 with 7,184 images, applying transfer learning and data augmentation for better accuracy.
Weather App
May 1, 2025 – July 1, 2025
Developed a responsive weather application that provides real-time weather information for any city.
Online Quiz System in JAVA
July 1, 2024 – August 1, 2024
Developed an Online Quiz System in Java using OOP, featuring user login, timed quizzes, and automated score evaluation.
3 Certifications
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including Java, AI/ML, and web development, shows a broad interest in different technical domains. However, the experience level is very low (0 years), and the projects are primarily academic/personal, which is typical for a student. The target role is 'Software Engineer', which aligns with the candidate's stated career objective and technical interests. The breadth of skills and willingness to learn new technologies (MERN stack) suggest a potential for good cultural fit in a learning-oriented environment, but the lack of professional experience limits the assessment of fit in a fast-paced, production-focused setting.
Soft Skills & Operational Fit
The candidate's self-reported strengths include being disciplined, focused, and having good time management, along with an excitement for learning new skills. These traits suggest a positive work attitude and potential for growth within a team. The psychometric test score of 258/500 (51.6%) indicates average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, suggesting there might be room for improvement in these areas, though the specific breakdown is not provided.