Lingling Song

Dedicated time from 2019 to 2025 to care for family while actively building AI expertise through full-time study, project development, and technical reinvestment. Designed and developed multiple multi-agent AI projects. Completed over 300 hours of online coursework in machine learning, Python programming, and cloud tools. Earned credentials from top programs including Stanford's ML Specialization and IBM's AI curriculum. Built and evaluated models using Python and ML frameworks with public and custom datasets. Stayed current with generative AI, LLM architecture, AutoML, and tools such as AutoGen, Hugging Face, and LangChain. Practiced skills through GitHub-hosted mini-projects, experimental notebooks, and developer community participation.

Supported Microsoft Office 365 services across the China region, ensuring system reliability and regulatory compliance. Created a Python observability toolkit integrating system logs and performance counters to reduce mean time to repair (MTTR). Designed and implemented automated self-healing scripts responding to system alerts with minimal manual intervention. Built CI/CD pipelines using Azure DevOps and PowerShell for blue-green deployments with automated testing and rollback. Collaborated with Microsoft US teams to resolve cross-regional software/hardware issues and improve service resilience.

Oversaw HR operations including payroll, benefits, employee relations, and compliance. Led the implementation of HRIS systems and workflow automation. Collaborated with IT to digitize records, enhance data integrity, and streamline cross-functional processes. This experience provided deep insight into structured workforce data and enterprise workflows, laying the foundation for later focus on AI-driven solutions.