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NUMAN KHAN

I come from engineering background with around 2 years of experience in AI training with Amazom.com. Currently I work as an Analyst.

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Srinagar, India
Writing & Editing
Joined March 22, 2024

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About
I offer data production, curation, and analytics services as a member of the Alexa Data Services (ADS) team, and I do this to support the training, testing, and development of Alexa AI. I closely collaborate with Amazon's Machine Learning (ML) Science and Modeling teams, providing them with the vital information they require to enhance Alexa's capacity for language interpretation and speech recognition. I have worked on: 1. Shopping Annotation 2. Core Annotation 3. Transcription 4. Speaker ID LARGE LANGUAGE MODEL My strong sides are Critical thinking Learning and development and problem solving
Experience
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amazon
Jan 2022 – Jan 2024
hyderabad
ML Data assosiate AI
I offer data production, curation, and analytics services as a member of the Alexa Data Services (ADS) team, and I do this to support the training, testing, and development of Alexa AI. I closely collaborate with Amazon's Machine Learning (ML) Science and Modeling teams, providing them with the vital information they require to enhance Alexa's capacity for language interpretation and speech recognition. I have worked on: 1. Shopping Annotation 2. Core Annotation 3. Transcription 4. Speaker ID LARGE LANGUAGE MODEL (LLM) (15-05-2023 to 29-12-2024) Primary focus in Large Language Models (LLMs) lies in enabling Amazon to deliver a superior shopping experience to customers worldwide.Its mission is to empower Amazon's LLMs through Reinforcement Learning from various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence 1. Worked on workflows for information retrieval, question assessment, and product summarization in Amazon product context. 2. Trained Nile models for product detail summarization and customer review summaries. 3. Created and edited customer-related questions, assessed question quality, and ensured relevance in a shopping context. 4. Specialized in writing factoid questions, including yes-no, numerical, and "Wh" questions based on product details. 5. Worked on workflows which dealth with prefernce evaulation and creation including content moderation. 6. Conducted retrieval audits to ensure content aligns with user queries and provided key aspects of product categories for shopping assistants.