All projects
Case study · 2019 — 2021
Enterprise AI Analytics Dashboard
High-volume event analytics for operators
Technical Product Manager (delivery ownership) · Blue Space Technologies Inc
Linked to experience Related experience →
TensorFlowBigQueryReactNode.jsGCP
The problem
The problem
Operators needed a usable surface over tens of millions of daily events — not notebooks or static BI exports.
Outcomes
- Production dashboard at 10M+ daily events
- ~40% faster delivery cycle with a 25-person cross-functional team
What shipped
Event path into BigQuery-scale analytics with TensorFlow-assisted insights where models beat raw aggregates.
React/Node operator UI prioritising metric clarity.
Key tradeoffs
Warehouse
Chose: BigQuery
Rejected: Self-managed OLAP for v1
Time-to-insight over cluster babysitting.
What was hard
- Query cost when “one more breakdown” is free to ask
What I would change
- Metric ownership catalog earlier
Artifacts
