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AI Engineer with less than a year in Python, ML, and 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
Final-year B.Tech CSE (AI) student with hands-on experience in Python, Java, React.js, Machine Learning, and Data Science. Experienced in building AI-powered applications and web solutions through internships and academic projects. Seeking Software Engineer or AI/ML roles to contribute technical expertise and continue growing as a developer.
GIFT Autonomous college
B.Tech · CSE(AI)
N/A – Present
Nayagarh Autonomous College
Intermediate-Science(12th)
N/A – May 31, 2023
Kabiraj Baidyanath High School
Matriculation(10th)
N/A – May 31, 2021
Ardent Computech Pvt. Ltd.
Data Science & AIML Intern
June 2, 2025 – July 31, 2025
Kolkata, West Bengal, India
Ardent Computech Pvt. Ltd.
Data Science & AIML Intern
July 1, 2024 – July 31, 2024
Kolkata, West Bengal, India
Emotion Recognition
June 1, 2026 – Present
Build a project “Emotion Recognition” using machine learning techniques to classify human emotions.
Loan Approval Prediction
June 1, 2026 – Present
Build a project “Loan Approval Prediction” using Python and ML algorithms to predict loan eligibility.
NPTEL Elite Certification in Introduction to Internet of Things
NPTEL
June 1, 2026 – Present
NPTEL Certification in Data Analytics with Python
NPTEL
June 1, 2026 – Present
Certification of Introduction to HTML
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships align with the target role of an AI Engineer, demonstrating interest and foundational exposure to the field. The breadth of skills listed (C, Java, Python, JavaScript, React.js, Node.js, databases) indicates a diverse technical curiosity, though the depth in each is not fully clear. The academic nature of projects and limited professional experience suggest a foundational cultural fit, but further development in industry best practices and collaborative project environments would be beneficial.
Soft Skills & Operational Fit
The candidate's self-identified strengths include quick learning, team collaboration, and problem-solving, which are valuable for an AI Engineer role. The psychometric test score of 362/500 suggests a moderate fit in areas like logical reasoning and work attitude. The English test score of 64/100 indicates room for improvement in professional communication clarity.