St. Thomas University
Master of Science in Engineering, Artificial Intelligence
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I am a seasoned data and AI engineering leader with extensive experience architecting and operationalizing large-scale data platforms, including AI training data pipelines and annotation workflows for Fortune 500 clients in sectors like healthcare, retail, and technology. My expertise spans cloud-native data foundations, unified governance, and GenAI data processing—including multi-modal, context-aware retrieval augmented generation (RAG), knowledge graphs, and domain-driven data products. I have driven successful data labeling and annotation initiatives for advanced analytics, NLP, and recommender systems, such as real-time clickstream analytics and personalized customer experiences for e-commerce and digital health. My hands-on skills include working with Databricks, AWS (S3, SageMaker, Aurora), Snowflake, and open-source data stacks, ensuring high-quality, scalable training datasets that fuel AI innovation and deliver measurable business outcomes. I am passionate about transforming raw data into actionable intelligence and building robust data infrastructures that empower high-performing teams and next-generation AI solutions.
Umamaheswari E. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science in Engineering, Artificial Intelligence
Bachelor of Engineering, Electrical and Electronics
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