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Appen
Clickworker
Labelbox
Lionbridge
Remotasks
Scale AINo subject matter listed
Computer Code Programming
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TextWith a background in Artificial Intelligence and a strong focus on real-world applications, I have hands-on experience in data labeling and AI training workflows across domains like computer vision, text-to-image generation, and forecasting. I’ve worked on projects involving Stable Diffusion for generative tasks and built models to support retail sales prediction using structured data. This experience has strengthened my understanding of the importance of clean, consistent, and high-quality annotated data in machine learning development. I am skilled in annotation processes, quality assurance, and working with labeling tools to support the training of supervised learning models. My work has involved both manual and semi-automated labeling, following strict guidelines to ensure accuracy and efficiency. I also bring proficiency in Python, data preprocessing, and basic model evaluation, which allows me to contribute not only to the labeling pipeline but also to understanding how the data impacts performance downstream. I’m passionate about the role of labeled data in building reliable AI systems and take pride in delivering detailed, accurate annotations that help models generalize effectively. My collaborative mindset, attention to detail, and AI project experience make me a valuable contributor to any data-centric AI team.
A prompt from the user and a generated code from their llm and i was tasked to make it better.
Bachelor of Science, Information Systems And Computer Science (AI Major)
AI & Data Science Track Participant
SQL Development Intern
