AI Trainer
Annotated images with moving objects as well as model evaluation
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I am passionate about building high-quality AI and machine learning systems, with hands-on experience in data labeling, annotation, and training data workflows across computer vision, NLP, and audio domains. My projects include developing object detection models for medical imaging and smart city applications, designing neural networks for sentiment analysis, and building real-time perception systems for autonomous vehicles and robotics. I have extensive experience preparing, labeling, and validating datasets using Python, NumPy, Pandas, PyTorch, TensorFlow, OpenCV, and Scikit-learn, as well as creating reusable tools to automate data processing and feature extraction. I am comfortable collaborating with multidisciplinary teams and thrive on ensuring training data quality and reproducibility for robust AI solutions.
Annotated images with moving objects as well as model evaluation
Bachelor of Science, Computer Science and Data Science
Software Engineering Intern