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AI Engineer with less than a year in Machine Learning & Web 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
To build a career in the field of Artificial Intelligence and Machine Learning, leveraging my technical and analytical skills to develop intelligent solutions, enhance automation, and contribute to innovative projects that drive technological advancement and organizational growth.
GIFT Autonomous College, Biju Patnaik University of Technology (BPUT)
B.Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Narayana School, Patia
Intermediate
June 1, 2021 – May 31, 2023
Narayana School, Patia
Matriculation
June 1, 2019 – May 31, 2021
Internship on Odisha Computer Application Centre, Bhubaneswar
May 28, 2025 – July 9, 2025
Completed a Artificial Intelligence internship using Python, Scikit-learn, and Machine Learning (Random Forest, Logistic Regression). Developed Personality Prediction.
Internship on Central Tool Room & Training Centre, Bhubaneswar
July 1, 2024 – July 31, 2024
Completed a python internship focusing on Python using Django. Built and styled responsive Clone of Facebook.
Cloud Computing (IIIT Kharagpur, 2025)
IIIT Kharagpur
January 1, 2025 – Present
Social Networks (IIT Madras, 2025)
IIT Madras
January 1, 2025 – Present
Introduction to Industry 4.0 and Industrial Internet of Things (IIT Kharagpur, 2024)
IIT Kharagpur
January 1, 2024 – Present
Cultural Fit Analysis
The candidate is pursuing a B.Tech in Computer Science and Engineering and has undertaken two internships, one in Python/Django and another in AI/ML. The projects, while basic, show an interest in the target role of AI Engineer. However, the diversity of projects is limited, and the experience level is entry-level (0 years of professional experience), which may not align with the expectations for a senior AI Engineer role. The breadth of skills is foundational, but lacks the depth typically required for senior positions. The NPTEL certification scores (51%, 65%, 57%) are modest, suggesting a foundational understanding rather than mastery.
Soft Skills & Operational Fit
The candidate's self-reported strengths include strong analytical thinking, quick learning, and self-driven hands-on project development. The psychometric test score (271/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which are critical for operational fit in a senior role. The English test score (64/100) indicates communication clarity could be improved for professional settings.