Models that ship and stay up

Low-latency ranking model serving personalized results, retrained nightly with automated evaluation gates.

• ▸p99 latency under 40ms at production traffic
• ▸Automated offline-eval gate blocks regressions before deploy
• ▸Shadow deployment + canary rollout for every model version

Orchestrated daily forecasting jobs with data-quality checks, backfills, and drift monitoring.

• ▸Idempotent DAGs with automated backfill on late data
• ▸Data-quality tests fail the run before bad numbers ship
• ▸Drift alerts route to on-call with a one-click runbook

Hybrid pipeline using a small fine-tuned model with an LLM fallback for long-tail cases.

• ▸Cost-aware routing: cheap model first, LLM only when uncertain
• ▸Human-in-the-loop review queue for low-confidence outputs
• ▸Full request/response logging for evaluation and audits