Saikat Poddar

About Saikat Poddar

Experienced Executive with a strong background in the Information Technology and Services industry, specializing in AI and ML-based data operations, content moderation, and intelligent annotation workflows. I bring proven expertise in communication, leadership, and strategic execution, with hands-on experience in Natural Language Processing (NLP), Named Entity Recognition (NER), Generative AI, and chatbot training data. My role has extended to cross-functional team coordination, quality assurance, and client alignment, ensuring that projects consistently meet SLAs and exceed quality expectations.I have worked extensively on high-impact AI projects including Twilio (NLP), Netflix (NER), Adobe (various use cases), Autodesk, LinkedIn, Tally and eBay, where I focused on entity recognition, content moderation, fraud detection, data integrity, and content classification. Specialized in e-commerce data operations(eBay), I have been responsible for product categorization, listing validation, and ensuring compliance with platform policies—particularly for platforms like eBay. I have also generated periodic performance reports and insights that enabled stakeholders to benchmark moderation and data quality effectiveness against KPIs.In addition to annotation, moderation, and document review across various platforms, I’ve contributed to projects involving skill term classification, job redirection, company enrichment, video and post intent categorization, political content analysis, and organization alias resolution. I have collaborated cross-functionally to deliver scalable, high-quality annotation pipelines, combining linguistic insights with strict data quality standards to support advanced AI applications. With a bachelor’s degree in science from Calcutta University and a continuous focus on learning, I am passionate about building intelligent data systems that drive innovation and efficiency.

Experience

1. Senior Ites Executive

   iMerit Technology

   Oct 2023 — Present · Kolkata, IN

   Revised and enforced content moderation protocols in compliance with evolving legal regulations, addressing sensitive trends, user reports, and platform policies across multiple digital ecosystems.• Generated periodic performance reports and insights to help stakeholders benchmark moderation effectiveness against SLAs and KPIs.• Employed automated algorithms to enhance the scalability and accuracy of content moderation, improving efficiency and response time during high-volume periods.• Developed relationships with vendors and subject matter experts to ensure smooth escalation management and effective issue resolution.• Specialized in e-commerce data operations, including product categorization, listing validation, and fraud detection for platforms like eBay, ensuring authenticity, accuracy, and policy compliance.• Executed document review and classification across diverse platforms, supporting legal, financial, and operational integrity through precise annotation and QA processes.• Contributed to multiple AI/NLP-based projects, including Named Entity Recognition (NER), chatbot training data labelling, and Generative AI annotations, ensuring language models are accurate, unbiased, and contextually sound.• Collaborated cross-functionally to deliver high-quality, scalable annotation pipelines, combining linguistic insight with data quality standards to support cutting-edge AI solutions.

Education

• Dr. Shyama Prasad Mukherjee Institution

  Higher Secondary, Science

• Dr. Shyama Prasad Mukherjee Institution

  Secondary or 10th standards

• Calcutta University, Kolkata

  Bachelor's degree, Science