Texas State University
Master of Science, Electrical and Computer Engineering
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I am a data engineer with over five years of experience supporting large-scale data systems, with hands-on expertise in building, migrating, and optimizing ETL pipelines across cloud platforms like Azure Databricks and AWS. My work has focused on ensuring high data quality, reliability, and accessibility for downstream analytics and AI/ML applications, including generating and preparing datasets for machine learning models in supply chain and aftersales domains. I have experience with data annotation and labeling workflows, particularly in computer vision and NLP projects, such as deploying YOLOv3 object detection and developing deep learning models for facial recognition and acoustic analysis. My technical skills include Python, PySpark, SQL, and a wide range of data engineering tools, and I am passionate about creating robust, well-documented pipelines that empower accurate AI training and data-driven insights.
Christopher R. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Electrical and Computer Engineering
Bachelor of Science, Electrical and Computer Engineering
Senior Data Engineer
Software Engineer I (Data Engineering / Data Platform)