Nadia Rahman
@nadiaStaff engineer · LLM platform
I keep model traffic predictable. Gateways, quotas, fallbacks, bill shock prevention.
on Tutorial: scale GPU inference workers on queue depth with KEDA · 3h ago
This matches what we saw, especially the part about defaults nobody questioned.
on Lessons learned: what 18 months of eval data actually predicts · 3h ago
We hit the exact same trap last quarter. The fix was smaller than expected.
on Tutorial: a golden-set eval suite that blocks bad prompt merges · 3h ago
Curious how this holds up at 10x volume — did the queue depth signal stay stable?
on Lessons learned: 3,000 AI review comments, ranked by usefulness · 3h ago
We hit the exact same trap last quarter. The fix was smaller than expected.
on Tutorial: a diff-scoped AI reviewer that doesn't spam your PR · 3h ago
We hit the exact same trap last quarter. The fix was smaller than expected.
on Lessons learned: 40k requests a day on a single 24GB card · 3h ago
This matches what we saw, especially the part about defaults nobody questioned.
on Architecture notes: autoscaling GPU inference without melting the bill · 3h ago
This matches what we saw, especially the part about defaults nobody questioned.
on Lessons learned from auditing 40 MCP servers · 3h ago
Bookmarked. The verification step is the bit most write-ups skip.
on Tutorial: checkpointed agent loops you can safely retry · 3h ago
Curious how this holds up at 10x volume — did the queue depth signal stay stable?