Ayush Singh

Contributing to the Listing & Maintenance team, delivering exceptional home-buying/selling experience by ensuring accurate property information and empowering Opendoor operators with intelligent listing tools and capabilities.

• AI-Driven Listing Description Generation: Reduced listing description generation time by 87% (from 15 minutes to 2 minutes) for MLS sites rules through development and integration of AI-driven solution using Python-based gRPC, Go, and React. Enabled editable AI-generated descriptions on frontend.
• Designed and built Seller Disclosures Index and Disclosure Viewer, enhancing UI/UX, reducing disclosure errors to 2%, and cutting renovation-to-listing days by 24%. Led frontend development using Material UI, Mosaic, Silica, TypeScript, and GraphQL, and integrated Go-based GraphQL APIs. Utilized custom React Hooks for state management and performance optimization, while managing stakeholder communication and requirement gathering.
• Successfully migrated feature flags from Optimizely to Amplitude, enhancing A/B testing accuracy across 3 Go microservices, 1 Ruby service, and 3 React applications. Cleaned up outdated flags and refined scopes to improve data analytics and overall platform performance.
• Refactored APIs to improve performance by enhancing database queries through batch processing and efficient Ruby query techniques, achieving 95% reduction in load times. Enhanced Listing Index APIs (Go service with Elasticsearch) for efficient indexing and search capabilities, added new fields to boost data integrity, and updated Go and React components for improved indexing and data management.
• Reduced on-call ticket load by 20% through proactive bug fixes and system enhancements. Provided critical support by resolving high-severity issue during off-hours.
• Key Technologies: Go, React (with TypeScript), Python, Ruby, GPT (OpenAI), Material UI, TypeScript, Mosaic, Silica, React Hooks, Amplitude, Optimizely, GraphQL, PostgreSQL, Elasticsearch, Kafka, Cypress, Jest, Concourse (CI/CD), AWS, Docker, Kubernetes, DataDog, Sentry, Splunk, VS Code, Figma, Agile, Scrum

• Designed and developed user experiences for Viewer Team across various products
• Migrated OSGi app to Spring MVC and exposed backend via Spring Boot
• Awarded Western Digital's Applause Award numerous times
• Delivered end-to-end support for multiple products while mentoring junior team members to ensure deep understanding of products
• Key Technologies: Java EE, Spring MVC, Spring Boot, JDBC, Tomcat, Kafka

• Worked on "Viewer" to test cutting-edge hardware devices, desktop application that displays graphical representation of flash device and allows easy navigation through its content.
• Reduced load time by 90% for WD's highest capacity drive at time, and by 75% to 90% for other products via multithreading.
• Implemented Publisher/Subscriber design pattern to track all operations executed on any storage device.
• Resolved latency issues caused by large, nested XML structures by implementing a search-enabled lazy loading module. Conducted successful Knowledge Transfer sessions to replicate module across all product lines.
• Led end-to-end integration of SD protocol and proprietary Microsoft Inbox driver as primary point of contact, overcoming limited access to source code.
• Led volunteer project to implement node server utilizing Cassandra and its Java layer, bringing Viewer’s functionality to web
• Key Technologies: Java, JavaFX, OSGI Framework, Cassandra APIs, SOAP APIs, Python, DLL wrappers, C++, JSON, Microservices, Kubernetes, AWS

• Co-created online ordering Hyperlocal marketplace for college students, providing fastest delivery (within 15 minutes).
• Developed Android and iOS apps using React Native and Firebase.

• Worked on web transformation of NAND and SSD data using Angular, Node.js, and MongoDB. Created an end-to-end task tracking service using Windows Communication Foundation (WCF), React with Highcharts.JS, REST APIs, and TypeScript.
• Developed end-to-end prototype for a web project using React for drag-and-drop UI and Node.js to communicate with Hadoop and HBase.