Develop AI-powered agentic workflows, LLM-integrated automation, intelligent log parsers, observability dashboards, and release-readiness tooling for connectivity device software. Analyze device stability, performance, reliability, telemetry, crash signatures, and system resources while automating defect triage, test generation, failure prediction, and build qualification. Collaborate across engineering teams and document repeatable workflows, triage processes, and operational best practices.

Develops, deploys, monitors, and maintains machine learning pipelines and algorithms. Performs exploratory data analysis, feature extraction, modeling, tuning, experiment tracking, anomaly detection, classification, clustering, and forecasting. Translates business requirements into analytical problems, evaluates solutions, mentors junior professionals, and communicates findings to technical and non-technical stakeholders. May lead projects and contribute to Agile development processes.