Govindram Seksaria PU College
Pre-University, Pre-University
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I have hands-on experience in AI training data through multiple machine learning projects, where I led and contributed to data preprocessing, model training, and evaluation. In my project on Road Network Extraction Using Satellite Images, I optimized a UNet model using hybrid loss functions to enhance accuracy, precision, recall, and IoU, showcasing my ability to prepare and fine-tune labeled image data for segmentation tasks. Additionally, I spearheaded the development of a CNN-based Image Manipulation Detection system, where I worked on curating and labeling manipulated vs. authentic image data, critical for supervised learning. My technical skill set includes Python, TensorFlow, and Streamlit, with a strong foundation in digital image processing and deep learning. I have demonstrated adaptability and problem-solving across domains such as audio denoising and robotics integration. This multidisciplinary approach, combined with my ability to document and train AI systems, sets me apart as a capable contributor to AI training pipelines and data annotation workflows.
Pre-University, Pre-University
CBSE, General Studies
Trainee Intern
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