Software Engineer at Best Practical Solutions, LLC

Delivered LLM-based summarization and sentiment analysis in a ticket platform, reducing resolution time by 15 hours per week. Improved ticket prioritization and reduced response times by 20%, enhancing UX and increasing customer satisfaction. Enabled autocompletion, response suggestions, and language translation leveraging AI in the Request Tracker’s text editor, achieving seamless and accurate ticket responses.

Software Development Engineer at Crest Data Systems

Built and managed four Splunk integrations using Python and React to collect cloud data (from AWS, Azure, GCP) via REST APIs, optimizing pipelines with Common Information Model to boost query speed by 5x. Optimized Splunk OpenTelemetry Collector for Kubernetes, streamlining log, metric, and trace collection. Created a Java-based Kafka streaming framework for Splunk, enabling real-time transformations and reducing latency to under 500ms for faster incident detection. Followed test-driven development, leveraging unit tests within CI/CD pipelines to reduce bugs by 3x and accelerate delivery. Partnered with product managers and QA across SDLC, conducting bi-weekly customer research to inform Agile and scrum practices, and boost user satisfaction by 25%.