Selected engineering work
LLM-powered log intelligence
Verified active years: 2025
A framework that transforms unstructured production logs into structured insight for root-cause analysis, combining fuzzy clustering, ReAct-based LangChain agents and locally hosted LLaMA models. Brought log investigation down from hours to seconds and streamlined over a thousand review cycles through SME automation.
My contribution
AI / ML systems engineer
Engineering contributions are described below.
Team / platform context
The description distinguishes system capabilities from personal contributions where the supplied evidence permits.
Engineering record
From implementation to production
The project description below records the supplied engineering work. A project-specific visualization has not been added.
Project description and engineering work
A framework that transforms unstructured production logs into structured insight for root-cause analysis, combining fuzzy clustering, ReAct-based LangChain agents and locally hosted LLaMA models. Brought log investigation down from hours to seconds and streamlined over a thousand review cycles through SME automation.