I have strong experience in data labeling and AI training, focusing on LLM evaluation, text generation, and multimodal annotation. At Turing, I worked on improving model reasoning and alignment through prompt evaluation, structured annotation, and quality audits.
I also have hands-on expertise in AI and Data Science annotation, including structured data, classification, entity extraction, and image/document labeling. With a quality-first approach and real-world AI pipeline experience, I deliver accurate and scalable annotations.
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Contributed to AI and data science annotation projects involving both textual and visual datasets. Responsibilities included labeling entities, summarizing text, evaluating model outputs, and annotating objects in images for downstream ML tasks. Additionally, I supported SFT prompt-response creation and evaluation, ensuring high-quality data for fine-tuning LLMs and vision models. All annotations followed strict QA guidelines with regular calibration checks and feedback loops to maintain consistency and precision.
Contributed to AI and data science annotation projects involving both textual and visual datasets. Responsibilities included labeling entities, summarizing text, evaluating model outputs, and annotating objects in images for downstream ML tasks. Additionally, I supported SFT prompt-response creation and evaluation, ensuring high-quality data for fine-tuning LLMs and vision models. All annotations followed strict QA guidelines with regular calibration checks and feedback loops to maintain consistency and precision.
Contributed to AI and data science annotation projects involving both textual and visual datasets. Responsibilities included labeling entities, summarizing text, evaluating model outputs, and annotating objects in images for downstream ML tasks. Additionally, I supported SFT prompt-response creation and evaluation, ensuring high-quality data for fine-tuning LLMs and vision models. All annotations followed strict QA guidelines with regular calibration checks and feedback loops to maintain consistency and precision.
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