Lead engineering teams building ML infrastructure and data governance solutions that support AI model development at Amazon.
Key Leadership Accomplishments:
• Led the vision and launch of Content Registry for large datasets and models, reducing latency from 10 seconds to sub-second performance and significantly improving scientist experience
• Established strategic ownership of Content Access, Tracking (using graphDB lineage), and Handling controls, improving compliance across AGI systems
• Directed implementation of 23 responsible AI governance controls including geographical access restrictions and anonymization capabilities
• Orchestrated automation of metadata enrichment for petabytes of data, cutting processing time from 5 days to 8 hours
• Led cross-functional initiative to reduce dataset access time for model training from 8 weeks to 1 week in 2024
Team Leadership:
• Built and mentored a team of 10+ engineers delivering solutions impacting 1,000+ internal users
• Cultivated team culture leading to 75% job satisfaction through team initiatives and improved engagement
• Developed talent pipeline, successfully promoting 13 SDE interns to full-time hires
• Optimized infrastructure, saving $200,000+ annually through strategic infrastructure optimization
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