
AI Engineer with less than a year in AI & 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
Enthusiastic Technology Learner with in basic programming and data analysis, continuous learning and developing my career in computer science and engineering.
GIFT Autonomous
B.Tech · Computer Science and Engineering
N/A – Present
Tetrahedron Group of Institutions
Intermediate
N/A – May 31, 2023
Aliabad High School
Matriculation
N/A – May 31, 2021
Central Tool Room & Training Centre(CTTC)
Internship in “Artificial Intelligence & Machine Learning"
May 26, 2025 – July 10, 2025
Bhubaneshwar, Odisha, India
Moniba Technology and innovations (MTI)
Internship in “Python”
July 1, 2024 – July 30, 2024
Bhubaneshwar, Odisha, India
Face Mask Detection System
May 26, 2025 – July 10, 2025
Designed and implemented a deep learning-based model using CNN and OpenCV to detect face masks in real time.
Cultural Fit Analysis
The candidate's project diversity is limited to one academic AI/ML project. The experience is primarily academic and internship-based, indicating a foundational stage in their career. The target role is 'AI Engineer', which aligns with the candidate's stated interest and project, but the breadth of skills and real-world project experience is narrow. The psychometric test score suggests a reasonable baseline for cultural integration, but the limited professional experience makes a comprehensive assessment challenging.
Soft Skills & Operational Fit
The candidate's psychometric test score (343/500) suggests moderate logical reasoning, work attitude, stress handling, and team collaboration. The resume highlights 'Goal-setting and planning' and 'Dedicated and committed to completing task with responsibility' as strengths, which are positive indicators for operational fit. However, the English test score (54/100) indicates potential challenges in communication clarity and professional language usage, which could impact team collaboration and documentation.