Challenge 01
API rate limiting in real-time bidding
Our RTB pipeline was choking under load — rate limits hit at the worst moments and created a domino effect of timeouts. Publishers were losing real money on missed bids with no clear fix in sight.
What I did: Request queuing with Redis, circuit breakers, and exponential backoff so the system could breathe through traffic spikes. Timeout errors dropped 94% while bid responses stayed under 100ms.
Challenge 02
AI hallucinations in content workflows
The AI was confidently wrong — fabricated property details, inaccurate financial figures in regulated ad copy. Exactly the kind of thing that triggers a legal review or kills a client relationship overnight.
What I did: Pushed for mandatory human review gates before any AI output went live, plus structured output schemas that constrained what the model could generate. Zero compliance violations since launch.
Challenge 03
Multi-tenant data isolation
Enterprise publishers had contractual rights to strict data separation, but the platform ran on shared infra. One misconfiguration and one client's data bleeds into another's — a legal and reputational disaster waiting to happen.
What I did: Row-level security with per-tenant API tokens, separate encryption keys per client, and isolated audit logs. Zero data incidents in 24+ months of production use.
Challenge 04
RTB latency under 100ms
Running ML scoring models inside the bid response window just didn't work — the math wasn't there with the existing stack. Miss the deadline and the bid is dead, no matter how good the model is.
What I did: Pre-computed feature vectors and quantized the models for edge deployment, moving inference out of the hot path entirely. p95 latency hit 68ms, which unlocked premium publisher inventory tiers.
Challenge 05
GDPR-compliant tracking at scale
After iOS 14 and stricter GDPR enforcement, reported conversions fell off a cliff — over 40% of what we'd been measuring just disappeared. Clients were making budget decisions on completely broken data.
What I did: Switched to server-side tracking with a first-party data model and proper CMP consent integration. Recovered 85%+ of the lost attribution without touching user privacy.
Challenge 06
Fragmented reporting across platforms
Clients were running campaigns on Meta, Google, TikTok, and two others — reconciling the numbers meant exporting five CSVs, fighting Excel, and burning half a workday every week. Nobody loved Monday mornings.
What I did: ETL pipelines from each ad platform's API into one data warehouse, surfaced through a single BI dashboard. Reporting dropped from 4 hours to 15 minutes. Clients started actually looking forward to the Monday review.
