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Entry-level AI Engineer with Python, Machine Learning & Deep Learning skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with a strong academic foundation and hands-on experience through projects and internships in Machine Learning and Deep Learning. Skilled in Python, data analysis, and model development, with good problem-solving and communication abilities. Seeking an entry-level opportunity to apply technical knowledge, gain industry exposure, and grow as a professional.
Chalapathi Institute Of Technology
B.Tech(CSE) · Computer Science Engineering
August 1, 2020 – June 30, 2024
Deep Learning Food Classification Using Multi-Models
Intern
January 1, 2024 – June 1, 2024
India
ROI-based Event Detection using YOLOv7
Intern
January 1, 2024 – June 1, 2024
India
Real-Time Personalized Stress Detection System
January 1, 2023 – January 1, 2024
Built a real-time system to classify three stress levels (low, medium, high) from health parameters. Applied ML models (Naive Bayes, SVM, Decision Tree, Random Forest) and achieved 92% accuracy. Led a team of 4 members, improving prediction reliability by 15% compared to baseline.
Programming in Java
NPTEL
June 1, 2026 – Present
Programming in C
NPTEL
June 1, 2026 – Present
Data Science with AI
Viharatech Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships align well with an AI Engineer role, focusing on machine learning, deep learning, and data analysis. The academic project involved team leadership, which is a positive indicator for collaborative environments. The diversity of projects (stress detection, food classification, object detection) shows a broad interest within AI. However, the experience level is entry-level, which might require more mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving abilities and has experience leading a small team, indicating potential for collaboration. The resume highlights a desire to gain industry exposure and grow professionally, suggesting a positive work attitude. However, without psychometric test results, a comprehensive assessment of stress handling and team collaboration is not possible.