Site Reliability Engineering

Developing back-end architecture on Amazon Detail Page, one of the highest traffic pages of the internet I focus on enhancing user experience through backend optimizations and security improvements. Key accomplishments include:

* Reduced Product Page Latency: Restructured business metric collection and processing, resulting in faster loading times and a smoother experience for Amazon’s millions of users.

* Enhanced Security Protocols: Led the seamless implementation of security changes across internal services, mitigating risks with zero customer impact.

* Risk Mitigation through Automation: Designed and integrated business metrics test automation into CI/CD pipelines, reducing the likelihood and costs of metrics bugs in production.

* Product Launch Collaboration: Worked closely with partner teams to create new layout designs for listing detail pages, facilitating the successful launch of a new product category.

Designed, deployed, and maintained event-driven cloud applications, primarily using AWS services.

* Serverless Application Architecture: Built a scalable, event-driven application integrating Microsoft Graph notifications with AWS services (API Gateway, Lambda, EventBridge, Kinesis DataStream) to streamline event management.

* ETL Pipeline Development: Architected an ETL pipeline to securely and efficiently handle large data sets via AWS Lambda, S3, and Step Functions, facilitating research collaboration and analysis.

* Real-time Personalization: Deployed a data pipeline that leveraged AWS Pinpoint, Kinesis, and AWS Personalize for real-time, customized recommendations.

* Chrome Extension Development: Built a user-friendly extension with ReactJS, AWS Amplify, GraphQL, and AWS AppSync to simplify data access and user engagement.

Contributed to advancing image processing and machine learning solutions:

* Algorithm Optimization: Enhanced a people detector and vehicle classifier, achieving higher frames per second and improved mean accuracy precision.

* Research Collaboration: Worked with researchers to apply meta-learning, computer vision algorithms, and advanced ML frameworks for a robust proof of concept.

* Performance Analysis Framework: Built an analytical tool in Python, using Pandas and Matplotlib, to process and correlate performance data, accelerating insights for ongoing optimization.