Srm Institute of Science and Technology
Bachelor of Technology, Electronics And Communication Engineering
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I have hands-on experience in AI training data preparation through projects focused on machine learning, data analysis, and visualization. My work includes real-time fault detection and classification in automotive components using Random Forest and XGBoost, as well as image and video processing, which involved annotating, structuring, and labeling datasets for model training and evaluation. Additionally, I developed systems like a password strength checker and a library management system, both of which strengthened my ability to handle structured and unstructured data efficiently. My technical expertise spans Python, SQL, AWS (S3, Lambda, CloudFormation), and data engineering tools, supported by certifications in cloud foundations and data engineering from AWS Academy. I have also published research on AI-driven applications such as graphene-based wearable e-textiles for real-time sweat analysis and predictive maintenance systems, showcasing my ability to work with complex datasets, preprocess them, and design models that rely on well-labeled, high-quality training data. These experiences set me apart with a strong foundation in both the technical and practical aspects of AI data preparation and model training.
Bachelor of Technology, Electronics And Communication Engineering
Class XII, Higher Secondary Education
Project Management