Austin Wang

Built and improved an AI-powered, real-time ticket discovery experience using RAG architectures. Developed scalable event-driven backend services for high-volume marketplace events and ticketing workflows using Kafka, Redis, and AWS, including asynchronous processing, caching, and distributed service patterns for reliability and performance. Implemented real-time messaging and notifications with WebSockets, Kafka, and Redis, and created event-driven microservices for processing subscription, notifications, and user activity. Integrated LLM-based recommendations and AI services using LangChain and LLM APIs, and designed systems to interpret and leverage event/ticket data for personalized recommendations and engagement analytics. Deployed services on AWS and improved observability using monitoring and automated alerting with DataDog. Worked on purchasing and payment workflows via Stripe and Plaid APIs, including secure webhook handling and async transaction processing; optimized data acc

Real-Time Messaging & Notifications •Designed a real-time messaging and notification platform using Python, WebSockets, Kafka, and Redis. •Built event-driven microservices to process messages, notifications, subscription events, and user activity asynchronously. •Deployed services on AWS and improved reliability through monitoring and automated alerting with Datadog. AI-Powered Creator & Fan Experience •Developed AI-powered recommendations and content discovery features using Python and LLM-based services. •Built backend APIs connecting AI services with the platform's creator and fan workflows. •Used event data from Kafka to support personalized recommendations and user engagement analysis. Testing & Reliability •Built automated unit and integration tests with Jest for critical application workflows. •Added Datadog monitoring and service-level metrics to identify performance issues and production failures. •Worked across multiple microservices and AWS infrastructure to improve scalability and reliability. Stacks: Python, Kafka, AWS, Elasticsearch, React, WebSockets, Redis, Microservices, Jest, Datadog

Built and maintained data and collaboration platforms, including real-time data and collaboration features. Delivered backend services and APIs for enterprise applications using Node.js and related web technologies, and optimized PostgreSQL queries for high-volume operations. Implemented Stripe and Plaid integrations and secure webhooks for payment events, transaction updates, and asynchronous processing. Worked on Redis caching and state management for responsiveness, and supported containerized deployments with Docker and AWS ECS. Improved reliability by adding automated tests (Jest/Cypress) and enhanced production visibility through structured logging and performance tracking.