Aniket Singh

Worked as a Content Mapping Specialist for LinkedIn Learning, and excelled at the following things:

1. Mapped digital learning content (courses, videos, learning paths) to LinkedIn’s proprietary skills taxonomy to enhance discoverability and personalization for millions of users.

2. Analyzed course material across diverse domains (e.g., business, technology, and creative) to extract relevant skills and learning outcomes.

3. Conducted quality assurance reviews to maintain metadata consistency, accuracy, and compliance with internal guidelines.

4. Identified content gaps and made recommendations to support future content development, and upskilling strategies.

5. Contributed to improving user experience by supporting intelligent search, personalized learning paths, and role-based recommendations.

During the timespan, I served in a Google project, performing several activities under Vertex AI, Google Gemini, Google Bard, Spark Assistant, McD search engine, etc. where I performed the following tasks:

1. Collected, cleaned, and structured large-scale text and conversational datasets to support the training and fine-tuning of AI models, including chatbots, and large language models (LLMs).

2. Managed and safeguarded Personally Identifiable Information (PII) across data pipelines and storage systems, ensuring compliance with global privacy regulations.

3. Implemented data classification frameworks to identify and tag sensitive data, enhancing discoverability and risk mitigation across systems.

4. Led data audits and assessments to detect PII exposure risks and drive remediation efforts, reducing potential compliance violations.

5. Review and evaluate search engine results for relevance, usefulness, and accuracy in response to specific user prompts.

6. Rate and provide feedback on individual search results. Follow detailed rating guidelines and criteria to assess content quality, trustworthiness, and relevance.