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AI Engineer with less than a year in Machine Learning and Java.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a very strong desire to get into AI-ML but I am also open for other opportunities in Web Development.
GIFT Autonomous, Bhubaneswar
B.Tech · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Tetrahedron Junior Science College, Cuttack
Intermediate (12th)
N/A – May 31, 2023
Saraswati Shishu Vidya Mandir, Kujang
Matriculation (10th)
N/A – May 31, 2021
CTTC
AIML Intern
May 1, 2025 – July 15, 2025
Bhubaneshwar, Odisha, India
IIG Vercity
Programming Fundamentals Intern
July 1, 2024 – August 1, 2024
Bhubaneshwar, Odisha, India
Computer Networks and Internet Protocol
NPTEL
June 1, 2026 – Present
Industry 4.0 and Industrial Internet of Things
NPTEL
June 1, 2026 – Present
Affective Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's stated career objective aligns with AI-ML, showing a clear interest in the target role. Project diversity is limited to two internships, one in programming fundamentals and one in AIML. The breadth of skills is foundational, including C, Java, Python, HTML, CSS, JS, MySQL, and Oracle. The NPTEL certifications indicate a proactive approach to learning, which is a positive cultural trait. However, the overall experience level is very low (0 years of professional experience, currently pursuing B.Tech), which might not align with a senior-level role's expectations for independent contribution and leadership.
Soft Skills & Operational Fit
The candidate demonstrates adaptability to new technologies and good time management, as self-reported. The psychometric test score (167/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit. The English test score (49/100) indicates a need for improvement in communication clarity and professional language usage.