Backend & Full Stack Engineer | AWS, Python, Java | Scalable Systems
At Amazon, I serve as a Full Stack Software Engineer, where I have contributed to optimizing Fire TV Ads through implementing deeplink management tooling and multithreaded data-fetching APIs, reducing latency significantly and driving ad revenue growth.
Designed and implemented deeplink management tooling business partners, optimizing data-fetching APIs with multithreading to reduce latency by 60%, enabling significant ad revenue growth and improving partner integration efficiency.
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Delivered frontend features for marketing landing page click-throughs for Fire TV feature rotator creative templates for a closed beta, enabling a projected new work stream for increasing annual ad revenue.
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Revamped rendering scripts and template handling for Inline Display Banner and Custom Content Row Fire TV Placements through migration to native ORTB, improving maintainability and reducing ad rendering times.
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Designed and implemented backfill APIs to transform and register ~20,000 ad product images for Responsive E-Commerce, unblocking multiple teams and accelerating campaign launches.
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Optimized Fire TV ad metrics pipeline and operational workflows, reducing production and monitoring ticket counts by 56%, improving system reliability and enabling the team to focus on high-impact feature delivery.
Implemented deletion APIs for an internal event history system, enhancing data lifecycle management and ensuring compliance with retention policies.
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Architected retry mechanisms for event processing pipelines, boosting reliability and significantly reducing system errors for high-volume event streams.
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Automated client onboarding for event producers, eliminating ~75% of manual deployment work and dramatically increasing operational efficiency for on-call engineers.
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Orchestrated release control features to safely manage traffic across multiple event subscribers, preventing system overload and ensuring high availability.
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Integrated Kinesis consumer support and automated configuration deployment, enabling new data ingestion capabilities and streamlining internal client workflows.