University of Massachusetts Dartmouth
Master of Science, Data Science
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I am a data engineer with extensive experience designing and validating data pipelines for AI and machine learning applications, with a strong focus on data integrity, quality, and workflow automation. My background includes building human-in-the-loop AI agents, orchestrating large-scale data annotation workflows, and developing robust data validation processes using PySpark SQL and cloud-based ETL tools. I have worked with diverse data sources across financial analytics, supply chain, and customer behavior domains, utilizing tools like LangGraph, Azure Databricks, Apache Spark, Kafka, and cloud platforms (AWS, Azure, GCP) to ensure clean, reliable, and well-structured training data for ML models. My expertise also extends to implementing monitoring, reporting, and visualization solutions in Power BI and Tableau, reducing manual efforts and improving stakeholder insights. I am passionate about enabling high-quality AI training data through scalable, automated, and secure data engineering solutions.
Leeladhar E. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Data Science
AI Data Engineer
Data Engineer