Jan 2023 – Apr 2024 · 1 yr 3 mos · Boston, Massachusetts, United States · On-site

• Order Release and Customization Team (Jan 2024 - April 2024)
• Shipped multi-vendor tie break feature for custom orders preventing 100s of order fulfillment failures on a per day basis
• Automated infra failover to allow seamless transition to back up region infra without downtime to safeguard against the 0.01 percentile AWS outages
• Implemented returns integrations for 3rd party orders to mitigate return fraud. Estimated revenue impact =~ $8 mil per year
• Chewy Labor Management Systems team (Jan 2023 - Dec 2023)
• Lead multiple initiatives to scale the core labor management service which produces foundational data required for managing 10k+ employees across 25+ fulfillment centers and workflow optimization applications across finance and analytics verticals by processing millions of transactions per day

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States · On-site

• Worked on the unification of seller side and customer side data models in Product Knowledge org
• Used ElasticSearch for matching concepts in both data models to generate a standard format knowledge graph
• Collaborated with information scientists and engineers to come up with a new data model that satisfies maintainability needs, business needs, and scalability needs
• Wrote algorithms that allowed edits in the Amazon retail category graph in a scalable manner

Jun 2021 – Aug 2021 · 2 mos · Delhi, India

• Utilized ElasticSearch to salvage stray packages at fulfillment centers by matching string information on packages against back-end systems, saving $36k+ annually per fulfillment center
• Slashed storage costs by up to 80% via scheduling rotation of unused data to cold storage using S3 triggers and Dynamo DB streams

Jul 2019 – Jun 2021 · 1 yr 11 mos · India

• Designed & deployed probabilistic algorithm to allocate priority scores to leads for prioritizing business focus by collaborating with data scientists, increasing conversion rate by 28% and revenue by $150k per annum
• Delivered a consumer-facing distributed backend using SpringBoot in Java for hotel-onboarding module during COVID which sped up business expansion, increasing business flow availability to 99.99%
• Conceptualized and built messaging queue system design by leveraging Kafka and back-end in Java for delivering hotel prices at TB scale, generating cost savings of 60% and reducing turnaround time from 6 hours to 2 seconds
• Spearheaded cost optimization during COVID, decreasing costs by 90%+ through creation of SQL indexes, service unification, database migrations and facilitated organization level cost reduction initiatives