London, England, United Kingdom
Enthusiastic software engineer with 7 years of experience participating in the complete product development lifecycle of successfully launched applications. Highly effective at developing and designing state of the art technical solutions that deliver tangible results to the business.
Leading a team of 9 people for 3 different initiatives in the Walmart core supply chain umbrella named Atlas. It is running in the distribution center's of Walmart and helps to handle the warehouse inventory and logistics. ● Redesigned the architectural flow for Walmart's International Distribution Center, increasing WMS adoption from 7% to 90% , eliminating 45 hours of weekly manual processes, and reducing order fulfillment time by 68% across 12 global facilities. ● Developed the FBT tool that enabled 200+ vendors to upload invoices pre-dispatch, reducing processing time by 73% and cutting delivery wait times from 2 hours to 15 minutes while increasing invoice accuracy to 98.5%. ● Engineered an optimization-based Pallet Building algorithm that reduced pallet usage by 32%, saving $1.2M annually while improving truck utilization by 27% and decreasing shipping damages by 41%. ● Implemented distributed tracing across microservices using Jaeger and OpenTelemetry, reducing mean time to resolution (MTTR) for production issues by 65% and enabling end-to-end visibility of request flows across the ATLAS platform's 20+ services , critical for maintaining 99.9% uptime SLA.
Worked on the Case Investigation platform which makes sure that Amazon as a company does not conduct unauthorized business with a denied party or sanctioned country or region. The tool is used by the compliance team to meet regulatory requirements in each geography and for each business. ● Designed the high level and low level system design architecture for end to end development of a new module. It is used to take enforcement action on a particular case which has been identified as a fraudulent party. ● Developing machine learning pipelines on AWS SageMaker to identify whether a particular account created is fraudulent or not.
Clients can open multiple variations of accounts with the firm for trading and at the same time help clients reach long term financial goals by providing statistical insights. ● Implemented document verification flow which enables users to verify their identity by submitting pictures of their documents. ● Developed REST API’s using Spring and Hibernate for providing CRUD operations to the account creation process.