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Reviewed advanced mathematical content for online modules with a reviewer rating of 4.7/5.
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I am a data engineer and AI systems specialist with hands-on experience in data labeling, annotation, and AI training data workflows, particularly for large language models (LLMs) and deep learning projects in NLP and computer vision domains. My background includes working on prompt evaluation, error analysis, and feedback loops to enhance model quality and consistency, as well as building and optimizing large-scale data pipelines using tools like Apache Spark, Airflow, FastAPI, and cloud platforms such as AWS and GCP. I have contributed to improving data quality and labeling accuracy for AI training and evaluation pipelines, and have a strong foundation in mathematics, algorithms, and system design. My experience spans from designing high-quality feature datasets for ML/LLM use cases to supporting annotation and review processes, making me adept at ensuring reliable, scalable, and accurate AI training data.
Reviewed advanced mathematical content for online modules with a reviewer rating of 4.7/5.
Contributed to 5+ AI/ML data annotation and model improvement projects including text understanding and vision tasks.
Master of Technology, Mathematics and Computing
Senior Data Engineer
Data Engineer