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AI Engineer with less than a year in Python & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic BCA graduate with internship experience in Al & Machine Learning, business research, and B2B growth operations. Eager to learn, develop new skills, and contribute effectively to organizational growth while building professional experience in a challenging and growth-oriented environment.
University of Mysore
BCA (5th Sem)
August 1, 2023 – June 30, 2026
University of Mysore
PUC
June 1, 2022 – May 31, 2023
Karnataka Secondary Education Examination Board
SSLC
June 1, 2020 – May 31, 2021
Rankbook Learning & Software Solution Pvt. Ltd
AI & Machine Learning Intern
December 23, 2025 – February 12, 2026
India
B2B sales and growth Excelerate
Internship
October 27, 2025 – November 27, 2025
India
AI-Powered Rust Detection and Severity Estimation
June 1, 2026 – Present
Developed a deep learning-based rust detection system using CNN and YOLOv8 for real-time corrosion detection and severity estimation. Worked with Python, Flask, and Computer Vision techniques for model development and web integration. Performed image preprocessing, model training, and evaluation for accurate detection results. Built a web-based application enabling automated rust inspection through image uploads. Explored AI applications in predictive maintenance and industrial automation.
Cultural Fit Analysis
The candidate's project diversity, including an academic AI project and an AI/ML internship, shows a clear interest and alignment with an AI Engineer role. The B2B sales internship, while not directly technical, demonstrates exposure to business processes and market analysis, which can be valuable for understanding product context. The breadth of skills, though foundational, indicates a proactive learning approach. The candidate's career objective also emphasizes learning and contributing to organizational growth.
Soft Skills & Operational Fit
The candidate lists teamwork, leadership, time management, adaptability, continuous learning, project work, and communication as skills. These indicate a positive attitude towards collaborative and dynamic work environments. The academic background and internship experiences suggest a willingness to learn and apply new technologies, which is beneficial for operational fit.