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Label Studio
CVAT
AppenNo subject matter listed
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ImageWith over a year of hands-on experience working with Outlier, a leading platform in AI training data, I have honed my expertise in data labeling and annotation for machine learning models. My background includes a strong foundation in computer science and data science, complemented by certifications in AI ethics and data quality assurance from platforms like Coursera. What sets me apart is my meticulous attention to detail, ability to handle large-scale datasets with high accuracy (consistently achieving 98%+ precision in annotations), and proficiency in tools like LabelStudio, CVAT, and custom Python scripts for semi-automated labeling. I've contributed to improving AI systems by ensuring diverse, unbiased, and high-quality training data, which has directly enhanced model performance in real-world applications.In my time at Outlier, I've worked on several impactful projects, including annotating thousands of images for computer vision models used in autonomous driving systems, where I labeled objects, segmented scenes, and classified edge cases to train robust detection algorithms. Another key project involved natural language processing data for chatbots, where I annotated sentiment, intent, and entity recognition in multilingual datasets, helping refine conversational AI for customer service platforms. Additionally, I contributed to a medical imaging annotation initiative, tagging radiological scans for anomaly detection, which required domain-specific knowledge and collaboration with experts to maintain ethical standards and accuracy. These experiences have equipped me with versatile skills across industries, making me a reliable partner for AI data needs.
Tagged and segmented radiological scans in collaboration with domain experts, ensuring ethical standards and high accuracy for training AI models in detecting medical anomalies like tumors or fractures.
Annotated thousands of images to train computer vision models for self-driving cars, including object labeling, scene segmentation, and edge case classification to enhance detection accuracy in diverse real-world scenarios.
Annotated multilingual text datasets for chatbot training, focusing on sentiment, user intent, and named entity recognition to improve response accuracy and natural conversation flow in customer support applications.
Master of Science, International Management
Bachelor of Science, Business Administration
Transformation Project Manager
Project Manager
