Data Annotator
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I am an experienced data annotator and content reviewer with a strong background in AI and machine learning. My work at Innodata Inc. has involved data annotation, content review, QA, auditing, and prompt engineering, giving me hands-on expertise with quality AI training data pipelines. I am skilled in labeling and reviewing datasets for both NLP and computer vision tasks, having worked on projects like a HealthSpeak Translation Web App using Google Gemini AI and an Image Generator using Hugging Face APIs. My technical toolkit includes Python, Java, SQL, HTML, CSS, JavaScript, NumPy, Pandas, and basic experience with TensorFlow. I am also Oracle certified in GenAI and have practical experience with LLMs, prompt design, and cloud platforms like AWS and Google Cloud. I am passionate about building robust, high-quality datasets that power reliable and ethical AI solutions.
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Bachelor of Technology, Computer Science Engineering (Artificial Intelligence and Machine Learning)
High School Diploma, Science (Senior Secondary)
Data Annotation
AI-ML Intern