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AI Engineer with less than a year in Product Management and Data Science
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Highly motivated student pursuing a B.Tech in Artificial Intelligence and Machine Learning with a strong foundation in data analysis, visualization, and machine learning techniques. Possessing hands-on experience in developing interactive dashboards and anomaly detection systems. Eager to apply problem-solving and analytical thinking to innovative engineering challenges.
Ramaiah University Of Applied Science
B.Tech · Artificial Intelligence And Machine Learning
November 1, 2022 – Present
Lavele Spices
Product Management
January 1, 2025 – June 1, 2026
India
Industrial Anomaly Detection System | Final Year Project
January 1, 2025 – June 1, 2026
Developed an industrial anomaly detection system using Python and PyTorch. Implemented deep learning models for defect detection and localization. Built a Flask web application for image analysis and visualization. Generated anomaly heatmaps and risk-level outputs. Achieved strong detection performance on industrial datasets.
Prime Video Content Analytics Dashboard
January 1, 2021 – December 31, 2021
Analyzed 9,600+ Prime Video titles to identify trends across genres, ratings, release years, and countries. Developed an interactive Power BI dashboard featuring KPIs, content distribution, and audience insights. Performed data cleaning and transformation to improve reporting accuracy. Generated actionable insights through visual storytelling and business-oriented analysis.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a blend of academic rigor (Industrial Anomaly Detection) and practical application (Prime Video Content Analytics). The product management internship, while not directly AI, shows an interest in broader business context and product development. This diversity suggests adaptability and a willingness to engage with different aspects of a project lifecycle. The target role of AI Engineer aligns well with the candidate's academic focus and project work in deep learning and anomaly detection.
Soft Skills & Operational Fit
The candidate lists problem-solving, business understanding, data storytelling, communication, team collaboration, and analytical thinking as soft skills. The project descriptions suggest an ability to work on end-to-end solutions, from data analysis to model deployment and visualization. The product management internship, though not directly technical, indicates an understanding of business requirements and user workflows, which is valuable for operational fit in an AI role.