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AI Engineer with less than a year in Java, Python, and 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
A dedicated Computer Science Engineering student with strong programming skills in Java, Python, and Kotlin, and hands-on experience in Machine Learning and Android development. Adept at problem solving and building practical solutions through academic projects and internships, with a strong interest in software development and emerging technologies
Panimalar Engineering College
Computer Science Engineering · Computer Science
August 1, 2023 – June 30, 2027
Face Recognition System
June 1, 2026 – Present
Developed a Face recognition System using Machine Learning/Python - Implemented an Email alert system if the face is not recognized
Plant Disease Detection Using CNN
June 1, 2026 – Present
Developed a plant disease detection system using machine learning and used algorithm convolutional neural network and this model displays in Tamil.
Full Stack Development(Python)
Approtech Solutions PVT LTD
June 1, 2026 – Present
Machine learning
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in applying AI/ML to practical problems (face recognition, plant disease detection). The projects are academic in nature and lack diversity in terms of real-world application or team collaboration, which limits the assessment of cultural fit for a senior AI Engineer role. The target role is 'AI Engineer', but the candidate is still an undergraduate with no professional experience, indicating a significant gap in alignment for a senior position.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, time management, and leadership as soft skills. However, without specific examples or assessment data, it is difficult to objectively evaluate their operational fit or the practical application of these skills in a professional setting.