Deep dives into tech, design, and AI exploration
Last month, we delivered an automation script for a simulation environment to a team. During the final batch run demonstration before delivery, the system crash
Last month, we deployed a content anomaly detection system for the business side. Within the first week, we ran into a familiar problem: the model was too "sens
Last month, we spent an entire week troubleshooting the issue of "model performance degradation on specific categories" within one of our identification pipelin
Last month, I helped an internal team troubleshoot performance issues with their intent classification service. Regional monitoring showed that P99 latency had
Last month, during the 2 AM release window, the same bug triggered three alerts. The first time, the script created its own mess and cleaned it up. The second t
The customer demo was scheduled for 3 PM. During the morning routine inspection, I switched the primary backend from Pool A to Pool B, aiming to test a real fai
Last month, we switched our production inference from a cloud API to a local router. The metrics looked impressive: P95 latency dropped from 1400ms to 220ms, an
Last week, during the final stretch of integrating our local inference cluster into production, everything looked perfect: CI was all green, monitoring was all
Last month, we migrated our team’s local inference routing from legacy nodes on the intranet to local ports on individual workstations. It sounded like a simple