Justin Nelson

Led the development of the Content Recommendation Engine, enhancing Netflix's personalized recommendations by designing microservices using Flask (Python), Go, and Rust. Built data pipelines for real-time processing using Apache Kafka and Airflow, ensuring robust data flow to AI models, improving recommendation accuracy and system responsiveness. Developed innovative, highly scalable machine learn

Spearheaded the development of Vercel's Serverless Platform, enabling developers to deploy dynamic websites with serverless backends using AWS Lambda and Go. Developed microservices with FastAPI (Python) and Rust for high-performance computing, enhancing the platform's ability to handle a large number of concurrent requests. Used RabbitMQ for message queuing and Redis for caching and session manag

Developed the backend architecture for real-time multiplayer games, using Java and Go to support over 1 million concurrent users. Built game services with gRPC for low-latency communication between game servers and clients, significantly improving response times. Deployed game servers on Kubernetes, allowing for automated scaling and better resource utilization during peak times.

Led the migration of Zappos' e-commerce platform to a microservices architecture, improving scalability and speeding up feature development cycles. Developed APIs using Django (Python) and GraphQL, improving the performance and scalability of customer-facing features like product recommendations and search. Used Celery for background task processing, enabling asynchronous handling of large-scale o

Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained practical experience in software development and system design.