I am a detail-oriented and results-driven Search Relevance Specialist with over three years of experience in delivering high-quality, high-volume labeled datasets to support AI training initiatives for global clients, including a major U.S. retailer. I specialize in multimodal annotation across text, images, and product metadata, playing a key role in the development of e-commerce search engines and machine learning models. Skilled in Python, SQL, and annotation platforms like Appen, I excel in query evaluation, taxonomy structuring, and quality assurance, consistently achieving high accuracy levels under deadline-driven, remote workflows. I am self-motivated, adaptive, and committed to driving continuous improvements in data quality and search relevance.

Srinivasa Rao Sammidi

I am a detail-oriented and results-driven Search Relevance Specialist with over three years of experience in delivering high-quality, high-volume labeled datasets to support AI training initiatives for global clients, including a major U.S. retailer. I specialize in multimodal annotation across text, images, and product metadata, playing a key role in the development of e-commerce search engines and machine learning models. Skilled in Python, SQL, and annotation platforms like Appen, I excel in query evaluation, taxonomy structuring, and quality assurance, consistently achieving high accuracy levels under deadline-driven, remote workflows. I am self-motivated, adaptive, and committed to driving continuous improvements in data quality and search relevance.

Available to hire

I am a detail-oriented and results-driven Search Relevance Specialist with over three years of experience in delivering high-quality, high-volume labeled datasets to support AI training initiatives for global clients, including a major U.S. retailer. I specialize in multimodal annotation across text, images, and product metadata, playing a key role in the development of e-commerce search engines and machine learning models.

Skilled in Python, SQL, and annotation platforms like Appen, I excel in query evaluation, taxonomy structuring, and quality assurance, consistently achieving high accuracy levels under deadline-driven, remote workflows. I am self-motivated, adaptive, and committed to driving continuous improvements in data quality and search relevance.

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Work Experience

Search Relevance Analyst at iMerit Technology
May 31, 2023 - July 24, 2025
Collaborated on AI training projects for a major U.S. retail corporation to improve e-commerce search engine accuracy and recommendation systems. Evaluated customer queries, assessed product listing relevance, performed detailed product classification and annotation under strict guidelines. Contributed expert judgment to refine query understanding and product ranking algorithms, generating high-quality labeled datasets for machine learning models. Maintained >98% accuracy across a high volume of weekly annotations while meeting daily productivity goals. Proficient in the Appen annotation platform and internal dashboards to monitor workflow efficiency. Worked cross-functionally to optimize product content, search discoverability, and SEO enhancements. Conducted benchmarking and experimentation analyzing user behavior and search KPIs to improve search performance. Demonstrated strong attention to detail and self-motivation in remote, deadline-driven environments.

Education

Master of Science at University of North Texas
August 1, 2023 - May 31, 2025
Bachelor of Technology at Raghu Institute of Technology
August 1, 2014 - May 31, 2018

Qualifications

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Industry Experience

Retail, Software & Internet, Consumer Goods, Professional Services