SRUTHI SURESH

• Annotate diverse datasets including images, text, audio, and video using internal tools and platforms.
• Review and validate annotations for consistency, accuracy, and adherence to guidelines.
• Collaborate with data scientists and ML engineers to refine annotation strategies and improve model
performance.
• Develop and maintain annotation guidelines and documentation for new projects.
• Perform quality assurance on labeled data and provide feedback to junior annotators.
• Identify edge cases and ambiguities in data and escalate to relevant teams.
• Train and mentor junior annotators as needed.

• Transformed raw data into high-quality Ground Truth datasets for
  computer vision and GenAI model training.
• Performed data accuracy checks, authenticity validation, and quality
  assurance (QA & Super QA) across internal and vendor teams.
• Collected and analyzed product data to support execution, reporting,
  and decision-making.
• Generated team productivity and efficiency reports to track
  performance and drive improvements.