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AIML Engineer
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AI Engineer
HCI • Full-time
Feb 2026 - Present • 5 mos
Conducted research in Computer Vision and Deep Learning as part of my M.Tech thesis. Designed and developed an underwater object detection system using a modified YOLO architecture with Ghost Convolution and SequenceOut. Collected, cleaned, and annotated large-scale underwater image datasets for model training and evaluation. Trained, fine-tuned, and optimized deep learning models using PyTorch, OpenCV, and Ultralytics YOLO. Evaluated model performance using metrics such as mAP, Precision, Recall, and F1-Score. Performed extensive experimentation, hyperparameter tuning, and comparative analysis across multiple model architectures.