Aug 2022 – May 2024 · 1 yr 9 mos

• As the Technical Lead for Amazon Business Payment, I have been instrumental in spearheading a dynamic team of 4 skilled developers to conceptualize, design, and execute a sophisticated real-time fraud detection system. This pivotal endeavor has fortified Amazon Business against fraudulent activities, resulting in the prevention of millions of dollars' worth of fraud on a monthly basis.
• Key Responsibilities and Achievements:
• Guided and empowered a team of 4 developers to ideate, construct, and implement a cutting-edge real-time fraud detection system for Amazon Business.
• Collaborated extensively with stakeholders and multiple 3rd Party Providers to seamlessly integrate their systems, markedly enhancing the precision and scope of fraud detection.
• Assumed a lead role in making critical design decisions and meticulously crafting the database schema. By prioritizing scalability, availability, and future-proofing, the system now thrives under high demand and remains adaptable to evolving requirements.
• Fostered a symbiotic relationship with the research scientist team, facilitating the provision of essential data for model training and the seamless deployment of these models for real-time inference. This collaboration amplified the accuracy of fraud detection.
• Nurtured a culture of mentorship by actively guiding Software Development Engineers (SDEs) within and beyond the team. This mentorship has been instrumental in catalyzing professional growth and helping individuals achieve their career aspirations.
• Demonstrated substantial fiscal prudence by making astute architectural decisions, devising API strategies, and optimizing database schemas. These efforts collectively resulted in substantial cost (500K+ dollars) savings for the project.
• Technologies Employed:
• Java, TypeScript, Google Guice for robust software development.
• AWS services including EC2, ECS (Docker), SNS, SQS, DynamoDB, AWS Lambda, CloudWatch, CDK, Sagemaker, Athena, MemoryDB, Elasticache.

Feb 2020 – Jul 2022 · 2 yrs 5 mos

• SCOT : Supply Chain Optimization Technology
• Work on enabling the Global Distribution Network of Amazon Supply Chain.
• Cross team project that includes working and coordination between 5 team across Amazon.
• Design and develop a highly scalable and highly available system to efficiently allocate the Global inventories arriving to each countries port to the multiple fulfillment centers present in that country, in order to fulfill the current and upcoming demands.
• Worked with multiple team, influence them also their system design to make necessary changes to make the entire system more scalable.
• Technologies used :
• 1. AWS Step function, S3, EC2, SQS, SNS, DynamoDB.
• 2. Java

Aug 2016 – Dec 2020 · 4 yrs 4 mos

• Architected and built a cutting-edge proactive delay detection system, leveraging deep analysis and meticulous implementation in Amazon Transportation.
• Designed a highly scalable Schema for a NoSQL table capable of seamlessly handling billions of daily read, write, and update requests. This schema has played a crucial role in enabling real-time package tracking, resulting in enhanced operational efficiency.
• Engineered an asynchronous processing framework to handle vast amounts of real-time data originating from each package. By efficiently processing millions of notifications within minutes, this system has set new standards for responsiveness and scalability.
• Successfully eliminated dependencies on 26 SQL tables, either by migrating them to NoSQL or deprecating where necessary. This consolidation has streamlined the data ecosystem, improving overall system performance and maintenance.
• Over the years, this system has played a pivotal role in saving millions of dollars for Amazon, underscoring its value in optimizing operations and minimizing delays.
• Trie Based auto refreshing cache.
• This project has become a team of 6 members of its own.
• The impact of my work is directly visible to Amazon's customers – if you've received a notification or email alerting you to a package delivery delay, rest assured that it was detected by the system I've had the privilege to lead.
• Tech stack :
• Java, Google Guice , AWS EC2, DynamoDB, SQS, SNS, S3. Rest Amazon Proprietary Tools.

Jan 2020 – Present · 6 yrs 5 mos · Seattle, Washington, United States