Project Neo-Genesis

AI-driven data synthesis platform for a Fortune 500 biotech firm.

In this comprehensive analysis, we dive deep into the architectural decisions that enabled Project Neo-Genesis to scale to millions of users. We explore the challenges faced during the migration from a monolithic architecture to microservices, and how we utilized edge computing to reduce latency by 40%.

Key performance indicators (KPIs) showed a significant improvement in user retention. By leveraging AI-driven personalization, we were able to increase engagement metrics across the board.

The technical stack involved Next.js, Rust, and a custom vector database implementation that allowed for real-time semantic search capabilities previously thought impossible at this scale.