Reeti Pandey
Applied Scientist@Amazon | Search Ranking | Generative AI | LLMs | Recommendation Systems
- Role
- Applied Scientist 2 at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Reeti Pandey
Experienced Data Science Specialist with a demonstrated history of working in the Health Insurance & health care industry. Skilled in Linear Regression, Cluster Analysis, Logistic Regression, Natural Language Processing (NLP), and Regression Analysis, Neural Networks, Computer Vision, Transfer Learning, etc, Strong engineering professional graduated from Nit Kurukshetra in Computer Science and Engineering.
Experience
Applied Scientist 2
Mar 2022 — Present · US
APPLIED SCIENTIST II | AMAZON, SEARCH RELEVANCE | JUNE 2025 - PRESENT• Improving the quality of search on amazon.comAPPLIED SCIENTIST II | AMAZON, CONSUMER ELECTRONICS TECH | MAR 2022 – JUNE 2025Seattle(WA)• Generative AI Application : Developed and deployed Generative AI application for internal employees to convert their task demonstration videos into Standard Operating procedure for agentic automation. Used opencv for scene detection and Claude 3.7 for frame analysis and sop generation. Deployed using AWS-CDK using Lambda, Step Functions and API gateway.• Attach Recommendation – Designed a customer facing experiment to test a Graph Neural Networkbased model to recommend most relevant accessories for a base product. The ranking algorithmincreased product type diversity from 2 to 3.• Bundle Ranking – Developed a two- tier product ranking model, finetuned a Mixtral 8*7B LLM topredict conversion of product bundles using historical data of conversion rates and Claude 3 togenerate instruction QnA datasets for training the LLM encoder. Achieved a NDCG@3 score of 0.8 andMRR of 0.7. Model was deployed using AWS step functions and EC2.• LLM Generated content for Bundles - Led several A/B experiments from inception to completion byengineering prompt for Claude LLM to generate content for thousands of bundled-product detailpages, in 5 different languages, achieving a projected annualized revenue gain of 50M USD in US, and 30M USD for other marketplaces for Amazon. • LLM Content Evaluation – Evaluated and validated LLM generated content at scale prior to launchingcustomer facing experiments. Designed quality criteria and tooling to quantify the content quality ofLLM generated content for 5 languages. Established 80% acceptable content as go-ahead criteria forGenAI applications.
Education
Lucknow Public School, Lucknow
CBSE-XII
2011 — 2012
National Institute of Technology Kurukshetra
Bachelor of Technology - BTech, Computer Science
2013 — 2017
University of Cincinnati - College of Engineering and Applied Science
Master of Engineering - MEng, Artificial Intelligence
2020 — 2021
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