AI Engineer with less than a year in Machine Learning & Python
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Assessing your cultural and operational fit
I am seeking a challenging position in an organization where I can learn new skills, expand my knowledge, and help the organization accomplish its ambitions. My background includes developing machine learning-based systems for quality detection and building AI-based video analytics pipelines. I possess strong skills in Python, SQL, and analytical thinking, with experience in both mini-projects and work experience focused on AI/ML applications.
Canara High School
SSLC
N/A – Present
Sahyadri College of Engineering And Management
Bachelor of Engineering · Artificial Intelligence and Machine Learning
N/A – Present
Boscoss PU College Mangaluru
Pre-university
N/A – Present
Coachbuddy AI
Coachbuddy AI
January 1, 2025 – May 1, 2025
India
Electric Vehicle Charging Station Management System
June 23, 2026 – Present
The system enables efficient charging services, user-friendly interactions, and maintenance tracking, contributing to the adoption and sustainability of electric transportation.
Stock Prediction using Linear Regression
June 23, 2026 – Present
Developed a predictive model to forecast stock prices using Python and linear regression, leveraging libraries like NumPy, pandas, and scikit-learn. Provided insights into market trends, assisting investor decision-making through historical data analysis.
Smart Cashew quality detection and sorting using Machine learning
June 23, 2026 – Present
Developed a machine learning-based system for smart cashew quality detection and sorting, enhancing efficiency and accuracy in processing through automated image analysis and classification techniques. The Cashew Quality Detection System is a project designed to automate the classification of cashew quality using image detection techniques, including CNN and the YOLOv5 algorithm for real-time object detection. It efficiently categorizes cashews into classes like w120, w180, w200, w300, and damaged cashew. A custom-made dataset was used, allowing the model to be specifically trained for this application. This scalable solution enhances the traditional, manual sorting process by reducing human labor and increasing accuracy, making it suitable for large-scale industrial applications.
Introduction to cloud computing
Unknown
June 1, 2026 – Present
Test Mining
Unknown
June 1, 2026 – Present
Deep learning for developers
Unknown
June 1, 2026 – Present
Introduction to Natural Language Processing
Unknown
June 1, 2026 – Present
Database and SQL
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning attitude and interest in diverse AI applications, from computer vision for quality control to predictive analytics and sports video analysis. The academic background in AI/ML aligns well with an AI Engineer role. The breadth of certifications (Cloud Computing, NLP, Deep Learning) indicates a commitment to continuous learning. However, the experience is limited to an internship, and the projects are personal, which might require more structured team experience for a senior role. The candidate's stated ambition to learn new skills and expand knowledge suggests a positive cultural fit for growth-oriented environments.
Soft Skills & Operational Fit
The candidate's experience at Coachbuddy AI highlights collaboration with ML developers, participation in team reviews, and iterative model development, indicating a capacity for teamwork and adaptability. The project descriptions are clear, suggesting good communication skills in a technical context. However, the resume lacks explicit mentions of leadership, problem-solving methodologies beyond technical implementation, or direct client interaction, which are often expected at a senior level.