Shreekanth Panyam

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CrowdSource

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Freelancer Overview

I am an experienced AI data trainer and specialist focused on enhancing the quality and performance of conversational and multimodal models. My background includes hands-on work with RLHF and multimodal model training, particularly in image and text domains, where I have contributed to improving model accuracy, natural language fluency, and inclusivity across different accents and languages. I am skilled in data annotation, quality assurance, and developing rubric guidelines to surface edge-case errors, ensuring clean and reliable training data for AI systems. My technical expertise spans Python, SQL, Excel, Tableau, and Power BI, which I use to analyze large-scale datasets and support model retraining and strategic decision-making. I have experience collaborating with cross-functional teams and mentoring peers to standardize best practices and raise labeling accuracy. My work has directly impacted projects in natural language processing, visual understanding, and business process optimization, driving improvements in user experience and accelerating AI development cycles.

Labeling Experience

AI Data Trainer Specialist

CrowdsourceVideoEvaluation Rating

Meta Ad Creative Strategy & Optimization: Spearheaded the evaluation and optimization of high-performing ad creatives for Meta’s platforms. Focused on enhancing visual engagement and ensuring brand alignment across diverse global markets. ​Meta OCR (Optical Character Recognition) Video Integration: Directed a complex video processing initiative utilizing OCR technology to extract, categorize, and analyze embedded text within video assets. This work improved data searchable-ness and streamlined the automated content moderation pipeline.

Meta Ad Creative Strategy & Optimization: Spearheaded the evaluation and optimization of high-performing ad creatives for Meta’s platforms. Focused on enhancing visual engagement and ensuring brand alignment across diverse global markets. ​Meta OCR (Optical Character Recognition) Video Integration: Directed a complex video processing initiative utilizing OCR technology to extract, categorize, and analyze embedded text within video assets. This work improved data searchable-ness and streamlined the automated content moderation pipeline.

2025

Education

Work History