Maíra Tanke
Principal GenAI Data Scientist
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMaíra Tanke is a Principal GenAI Data Scientist based in New York with a Master's in Data Mining and Knowledge Management and a background that bridges data science, web development, and production ML. She has progressed through multiple senior roles at AWS—most recently leading Bedrock GenAI Agents—after building forecasting and optimization solutions for Deutsche Post DHL and retail clients. Her hands-on experience spans time-series forecasting, text mining, customer analytics, assortment optimization, PySpark/Python pipelines, and interpretable visualizations informed by front-end skills. She excels at translating complex models into business impact and client-ready dashboards, closing the gap between technical teams and stakeholders. Notably, she combines enterprise-scale GenAI product leadership with early-career web and Java-based text-mining work, giving her an unusual blend of model, systems, and UI sensibilities.
4 years of coding experience
9 years of employment as a software developer
Master's degree, Data Mining and Knowledge Management (DMKM), Master's degree, Data Mining and Knowledge Management (DMKM) at University of LyonBachelor's degree, Computer Science, Bachelor's degree, Computer Science at USP - Universidade de São PauloMaster's degree, Data Mining and Knowledge Management, Master's degree, Data Mining and Knowledge Management at Università degli Studi del Piemonte OrientaleMaster's degree, Data Mining and Knowledge Management (DMKM), Master's degree, Data Mining and Knowledge Management (DMKM) at Polytech Nantes
Portuguese, English, German, French
Github Skills (36)
ai-agent10
langchain10
data-science10
agentic10
memory-management10
amazon-bedrock10
machine-learning10
authentication10
inference10
identity-management10
reinforcement-learning10
sagemaker10
security10
amazon-sagemaker10
agent10
Programming languages (3)
Github contributions (5)
mttanke/amazon-bedrock-samples
Nov 2023 - Nov 2024
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models
Contributions:75 pushes in 1 year
aws-samples/amazon-bedrock-samples
Nov 2023 - Jun 2025
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Contributions:135 reviews, 103 PRs, 96 pushes in 1 year 6 months
amazon-bedrockbedrockembeddingsgenerative-airag
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