Auto NavigationDeveloped an auto navigation script for mobile apps using text clickables, leveraging the capabilities of Amazon Rekognition and the Claude Sonet3 large language model. The script was designed to work seamlessly across both native and non-native apps, as well as be device-generic, supporting tablets, FireTV, and other platforms.As part of this project, I mentored a 2nd-year intern, guiding them through the process of integrating these advanced AI technologies into the app's architecture. The solution demonstrated robust natural language understanding and generation to interpret user inputs and map them to the appropriate navigation actions.Key technical highlights include:Leveraging Amazon Rekognition for computer vision and text recognition tasksIntegrating the Claude Sonet3 LLM to power the natural language processing capabilitiesOptimizing the script's performance and ensuring consistent behavior across multiple app environmentsDesigning a scalable and maintainable solution to accommodate growing user basesVendor Search RelevanceSpearheaded a mission-critical project aimed at enhancing vendor search result relevance within the ALP (App Lifecycle Portal) environment.Designed comprehensive High-Level Designs (HLD) and detailed Low-Level Designs (LLD) to strategically address the search result relevance issue.Implemented innovative changes that led to an impressive 90% enhancement in search result relevance.Leveraged a robust tech stack including SNS, SQS, OpenSearch (Elasticsearch), and AWS Lambda to optimize the search functionality.

Slot Selection Page Enhancement1. Led a critical work-stream in the One Grocery Business initiative for Amazon Fresh, focusing on the Slot Selection Page. 2. Conceptualized and orchestrated the Low-Level Design (LLD) and execution of changes to enhance the order delivery speed selection process.3. Successfully optimized the Slot Selection Page to accommodate nearly double the order volume, efficiently handling the increased load for comingled (hub+spoke) purchases.4. Collaborated seamlessly with an Away Team based in the US to ensure seamless implementation and alignment with project goals.Order Details Page Enhancement1. Played a key role within a team to implement crucial features on the Order Details (OD) page for Hub orders.2. Introduced features such as "cancel your order" and a comprehensive "Progress Tracker" for hub orders enhancing the user experience and order management capabilities.Merchant Onboarding Optimization1. Resolved a significant bottleneck in the One Grocery initiative by streamlining the onboarding process for Hub merchants.2. Collaborated extensively with around 15 Away teams based on US to address intricate configuration challenges, contributing to the successful launch of the initiative.Efficiency Enhancement and Issue Resolution1.Successfully resolved a recurring issue in Fresh Checkout, wherein customers were stuck in a loop on the Slots page.2. This optimization resulted in a substantial daily savings of over 5,000 orders during sales periods, significantly enhancing customer satisfaction and operational efficiency.Operational Excellence (OE) Enhancement1. Addressed recurring OE issues for the team, streamlining processes and contributing to a smoother workflow.2. Devised and implemented a custom Tampermonkey script to automate the generation of on-call reports, conserving approximately 0.5 SDE bandwidth per week.

NetPlan Enhancement:1. Played a pivotal role in enhancing the NetPlan tool, effectively aligning it with customer-centric goals.2. Executed key business use cases, including the simulation of distribution centers (DCs) and the automation of NetPlan procedures.3. These strategic enhancements led to an impressive 40% surge in user engagement, underscoring the tool's heightened usability and impact.