Cyrus Rintari

Analytical and detail-oriented professional with expertise in AI data labeling, text generation, and computer vision tasks. Skilled in image, video, and text annotation with a focus on precision and data integrity. Proficient in using digital tools to organize, analyze, and ensure accuracy in datasets. Passionate about contributing to AI model development through accurate data annotation and continuous learning.

• AI Data Labeling Software: CVAT, LabelImg, Label Studio, Supervisely, Other (fast learner)
• Data Type Expertise: Images, Text, Video
• Labeling Type Expertise: Bounding Boxes, Semantic Segmentation, Text Categorization
• Top Industries/Subject Matter: Technology & AI, Digital Marketing, Business Research

• Highly adaptable and detail-focused
• Strong analytical and organizational skills
• Eager to learn emerging AI technologies
• Reliable and deadline-driven

EXperimenting with AI- powered design tools and text generators allows me to explore how artificial intelligence enhances creativity and productivity. I enjoy testing tools such as Canva AI, ChatGPT and Adobe Firefly to generate visuals, automate content creation, and understand prompt-based design. THis hobby strengthens my understanding of machine learning applications in visual recognition and natural language processing. 

• Delivered 98% annotation accuracy across multiple image and text datasets during freelance projects, exceeding client quality standards and improving model training efficiency.
• Successfully transitioned from research and analysis to AI data labeling, completing professional certifications in data annotation, AI applications, and digital tools through Coursera, Udemy, and Google Digital Garage.
• Collaborated on remote digital content review projects, ensuring consistent categorization and labeling quality across multilingual datasets, which enhanced data usability for machine learning models.