Creating an AI-powered discovery engine on a responsive web application.
Year
2025-2026
I engineered a client-facing, full-stack discovery platform that automates personalized brand discovery using a React/Node.js/Firebase architecture.
The system features a dynamic strategy router that adapts retrieval behavior in real time, while orchestrating multiple AI-powered search services under strict latency and rate-limit constraints. To ensure novelty, I implemented domain-exclusion and negative-knowledge filtering alongside an LRU-style caching layer, achieving sub-second responses while minimizing redundant API calls.
Development requires designing a production-grade pipeline that balances personalization, scalability, and external service constraints. Ongoing work focuses on concurrency handling, background job orchestration, TTL-based data refresh strategies, and integrating beta tester feedback to enable user expansion.
Disciplines
Full-Stack Development
API Integration
CI/CD
Customer Feedback
Scalability
