Jiaqi Yang

Big Data Expert · Risk Control

10+ years in big data & distributed systems, 5+ years in risk control. Focused on real-time graph tech and loss-rate governance — cut subsidy loss rate from 10% to under 1%.

At a glance

10+
yrs · Big Data / Distributed
5+
yrs · Risk Control
<1%
Subsidy loss rate
PB+
scale cluster experience

Focus Areas

01

Real-time Graph

Self-built graph storage & query on HBase / HugeGraph; k-hop subgraph P99 ≤ 100ms for real-time risk decisions.

02

Risk Control

Graph strategies & features for brush / fake-order / content-safety / order-switching risks; cut annual loss rate below 1%.

03

Real-time / Batch Warehouse

Flink + Kafka real-time graph feature pipelines; Spark offline full-graph mining across onboarding & coupon risk.

04

OLAP Engine

Druid / ClickHouse / Doris real-time BI engine; PB-scale clusters powering company-wide dashboards.

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