At Trilogy, I investigated escalated production incidents across enterprise applications, diagnosing Windows and Linux issues, integrations, and customer configurations. I developed customer-specific scripts, patches, and workarounds to address technical problems.
I built Python diagnostic and automation tools for log retrieval, validation, and repeatable troubleshooting, reducing manual effort by approximately 40%. I also used LLM-assisted tools to analyze logs and developed Python AI workflows for classification, retrieval, and structured extraction.
In personal projects, I built and deployed a containerized GPU image-generation endpoint, an email-to-order pipeline, and a student metrics reporting tool. These projects used Python, APIs, and LLM workflows to process requests and produce structured outputs.
