Production ML
Fundora RL Engine
Reinforcement learning pipeline powering startup-investor matching at scale.
About the Project
The Fundora RL Engine is a production reinforcement learning system that powers startup-investor matching at scale. The agent learns optimal matching policies by observing the outcomes of introductions (meetings booked, deals closed) and continuously improves its recommendations. This is the core ML algorithm that runs Fundora's matching platform.
Key Features
- RL-based matching algorithm for startup-investor pairing
- Learns from feedback: meetings, follow-ups, and deal closures
- State representation includes founder profiles and interaction history
- Reward signal based on successful matches and conversions
- Production system powering vest-fundora.com
Impact
Powers the live matching engine at vest-fundora.com. Continuously learning from real-world feedback to improve match quality.
Tech Stack
PyTorchFastAPIPostgreSQLRedis
Metrics
Production system
Powers Fundora matching
Links
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