About
Purvi Joshi is a Data Engineering Manager with 16+ years of experience in big data, ETL, and analytics, based in Seattle, Washington. She specializes in building scalable data platforms spanning ingestion, transformation, storage, governance, and quality, with a focus on delivering trusted insights for business and operational decision-making. At Amazon Web Services (AWS), she leads and mentors a team of 10+ engineers and drives agile delivery of data products supporting infrastructure revenue and usage tracking, forecasting, and executive analytics. Her work includes data platform modernization initiatives such as data mesh implementation, AI-assisted data quality improvements, and near real-time data processing using AWS data services including AWS Glue and Amazon Redshift. Purvi previously supported regulatory compliance and surveillance programs at JPMorgan Chase and has held engineering roles at BNP Paribas, Bank of America, and Infosys. She holds a Master’s in Information Management (Jamnalal Bajaj Institute of Management, University of Mumbai) and a B.E. in Information Technology (University of Mumbai).
Sessions
Bias in Generative AI — When AI Learns Our Worst Habits
What you will learn:
How training data perpetuates gender and representation biases in AI systems. Real-world examples of biased outputs in image generation and language models. Practical approaches to detecting and mitigating bias using explainability tools like SHAP and LIME. Takeaways on building more equitable AI systems.