CVAT
Making object mark using the bounding box
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Generative AI Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Computer Applications, Dr.NGP Arts and Science College. AI-training focus includes data types such as Text and Document and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.
Making object mark using the bounding box
As a Generative AI Specialist at Objectways, I worked on crafting and evaluating prompts for AI models to ensure high-quality outputs. My responsibilities included creating context-specific prompts and assessing generated responses for relevance and accuracy. Collaboration with subject matter experts was key to optimizing prompt design and outcomes. • Developed a wide range of prompts tailored to various AI language models. • Evaluated and rated AI responses for accuracy and effectiveness based on targeted objectives. • Maintained standardized guidelines and documentation to scale up prompt engineering practices. • Stayed updated with current trends and techniques in NLP to enhance model performance.
For the Amazon BDX / IAB Annotation client at GlobalLogic Technologies, I performed data labeling and categorization of digital ads and media content. I followed IAB taxonomy standards and ensured correct, consistent labeling using BDX protocols. My work enhanced classification accuracy and annotation reliability for client deliverables. • Applied IAB taxonomy to categorize digital advertisements and media. • Identified labeling errors and ensured high-quality annotated datasets. • Standardized and refined annotation workflows to improve efficiency. • Created documentation for team knowledge sharing and annotation standards.
At GlobalLogic Technologies for Amazon Bedrock - CNI, I contributed to ML project support by providing data annotation, labeling, and prompt engineering expertise. Tasks included evaluating the quality of AI-generated content and proofreading annotated data summaries for accuracy. Ensured factual correctness and alignment with project requirements. • Reviewed and annotated summaries of visual content for content accuracy. • Provided feedback for technical writing in AI content creation workflows. • Assisted with labeling and evaluation of AI-generated text outputs. • Improved reliability and clarity of labeled data sets.
Bachelor of Computer Applications, Computer Applications
Gen AI Specialist
Senior Analyst