• Designed and engineered a drop-ship integration with courier partner Delhivery, resulting in a monthly GMV boost of INR 34 Cr and expandingplatform access to an extra 4.7K pincodes.• Designed a tag-loop return process to minimize Q2 leakages, with the objective of achieving projected savings of INR 7.2 Cr between Marchand December 2023.• Designed and implemented a Contextual Smart QC Rule Engine to streamline quality checks, leading to a significant monthly reduction ofINR 1.5 Cr in Q2 leakages.• Improved expected delivery date precision algorithms for pre-order items by incorporating launch dates.• Engineered a closed-box pickup system for Myntra Logistics, leading to notable 18L monthly savings and a remarkable reduction in third-partydependency from 11.06% to 7.52% within a month.• Led the effort to onboard tasks from external VMs to the internal scheduling service, effectively eliminating cron dependency and ensuring amore robust and reliable system.• Implemented a data-driven returns workflow for incorrect and damaged products, reducing fraudulent return percentages while enhancingthe user experience.• Identified and resolved critical bugs in logistics flows, rectifying missing or incorrect configurations, optimizing API response times, and implementing latency and error alerts for improved performance.• Designed and implemented self-serve tools for various logistics operations, resulting in a 30% reduction in on-call workload.

• Developed data pipelines from design to deployment that provide features to execute pricing models.• Built several python endpoints for internal system and removed the limitation of existing solution.• Built python wrapper providing functionalities like data freshness check and handling repetitive requests while accessing data through python client