Gradient Network ↗

Understand network performance

I used MySQL and Python to build pipelines analyzing more than 30 million client-node connection records. I compared geolocation and latency metrics and hosted an internal dashboard for network latency distributions.

Support node verification

I designed and trained a Byzantine fault-tolerant collaborative-filtering algorithm to identify malicious nodes in a global network of more than three million nodes. The model achieved 85% identification accuracy, and I integrated it into the Proof of Location verification layer.

Model participation incentives

I designed a node incentive model covering uptime, hardware performance, penalties, and incentive formulas, then simulated operating costs and returns for service providers joining the network.