Spearheaded a new automated bug diagnosis system using Retrieval Augmented Generation
embedding search
to support initial analysis for 20 GB+ system logs. Improved log processing speed by 5x by
parallelizing log
embeddings and model inference. Maintained strict data confidentiality by adhering to
offline or internal tooling.
Improved 5G systems monitoring ability by implementing interactive plot generation from logs
on a high
performance Qt C++ diagnostics app depended on by 15+ teams. Maintained a latency ceiling of
100ms per
render when generating interactive plots for 20GB+ log files.
Created a Slack bot using Python that synchronizes internal ticket tracking system updates
into relevant Slack
channels.
