Namra Saheba

Managed development and maintenance of platform services that leveraged ML based customer identification signal. Responsible for building adaptive shopping experience for different customer segments on Amazon. Guided cross- functional teams, collaborated with product managers and teams across different geographies to build new product capabilities, optimized infrastructure cost, and drove technical best practices

• Led a team of 12 engineers to deliver products with high efficiency and low infrastructure cost, resulting in increased revenue and customer satisfaction
• Implemented agile methodologies, which reduced project release time by 50%
• Prioritized automated testing, reducing the testing time by 30%, leading to faster product delivery
• Collaborated with teams in North America and Asia to build adaptive CX on Amazon that increased business revenue by ~200MM+
• Ranked consistently in top 25 percentile managers within the org
• Maintained 95%+ employee and job satisfaction scores
• Identified new tools & technologies that improved product quality and performance.

Simplified data-hosting/deployment architecture for efficiently publishing the datasets to production servers

• Reduced the dataset deployment time from ~12 hours to ~15 minutes
• Optimized hardware infrastructure cost by 4X
• Influenced the leadership to make the platform Generally Available which helped 7 other teams to simplify their architecture

Enhanced ML models with customer identification signals to improve content personalization on Amazon websites

• Increased user revenue by $100+ MM
• Built platform capability to integrate signals in a self-service manner, which helped 3 other teams integrate their signals
• Automated and streamlined ML model review process which reduced the review process SLA by ~35%

Mentored junior engineers, improving their coding skills and product knowledge

Started "Design Samurai" sessions to review cross-team system designs and helped improve the quality of org's technical architecture

Authored the 3 Year Technical Architectural Plan for the team.This helped the leadership align on the tech vision and necessary investments for the team

Worked with Product Managers to define the customer backward roadmap for our team leading to an increased user revenue of ~$200MM+ in 2 years.

• Namra Saheba namrasaheba@yahoo
• Developed and maintained data orchestration framework for generating personalized recommendation datasets
• Leveraged Python, Java, S3, and Docker to re-architect the framework
• Increased re-usability by modularizing the redundant components
• This improved the SDE efficiency by 30%
• Improved debugging capabilities by exposing logs through S3
• This reduced debugging time by 80%
• Designed and built a service for generating personalized recommendations
• Leveraged Java, AWS to build a scalable service which receives daily traffic of ~5000 TPS
• Worked on identifying gaps in system and fixing issues at root-cause which reduced the OE backlog for the team by 25%.