Tagore Gangisetty
I’m a detail-oriented AI and data annotation professional with hands-on experience preparing AS-IS/TO-BE documentation, defining key configuration requirements, and supporting procurement-to-robotic process automation…
About
I’m a detail-oriented AI and data annotation professional with hands-on experience preparing AS-IS/TO-BE documentation, defining key configuration requirements, and supporting procurement-to-robotic process automation workflows. I’ve worked closely with business users to create business process procedures (BPPs), conduct end-user training for procurement transactions, and maintain structured records with source lists, PR/MRP views, and automated PR generation.
I also contribute to AI model training by annotating and labeling datasets for machine learning and NLP/computer vision workflows, ensuring strong data quality for AI pipelines. In parallel, I’ve gained practical exposure in computer vision labeling tools and video annotation practices, and I enjoy evaluating, testing, and validating AI models while keeping annotated data well-organized with metadata and version control.
- Joined September 2026
Industry experience
- Education
- Software & Internet
- Manufacturing
- Computers & Electronics
Work experience
Supported end-to-end implementation and documentation, including requirement gathering and creation of AS-IS and TO-BE documents. Defined key configuration elements such as material types (ROH, VERP, HALB, FERT), plant and storage locations, purchasing groups, release strategies, pricing conditions, tolerance keys, and batch management. Helped set up records/sources/transactions, supported PR data setup, source lists, MRP views, and automatic PR generation. Collaborated with business users to create business process procedures (BPPs) and supported end-user training for procurement transactions like ME21N, MIGO, and MIRO. Maintained data updates in SAP S/4HANA using material master and vendor master processes and helped with documentation, test scripts, and UAT activities for MM process improvements.
Annotated and labeled datasets to train AI and machine learning models, with a focus on supporting data quality assurance for AI pipelines. Worked with hands-on NLP, computer vision, and structured data workflows, maintaining organized annotated records including metadata and version control. Contributed to AI model evaluation, testing, and validation activities to support technical research capabilities.
Education· 7
Certifications and awards
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