I’m proud of my work in energy because it turns complex grid data into systems-level improvements that strengthen how the entire industry plans and operates. As a Software Systems Engineer, I focus on advancing reliability through both predictive analytics and scalable engineering platforms.
In one initiative, I developed fault-risk models that help shift utilities from reactive disturbance response to proactive risk awareness. By analyzing high-resolution operational data, this work supports earlier identification of emerging instability and contributes to a broader transition toward data-driven grid operations.
Separately, I engineered a secure, server-based platform that performs large-scale contingency and reliability studies through an intuitive interface. The system centralizes computational workloads, automates complex simulations, and significantly accelerates interconnection studies. This capability is especially critical in Northern Virginia, where rapid data center expansion is reshaping load growth patterns and challenging traditional planning timelines.
Beyond improving internal workflows, these tools contribute to faster infrastructure development, stronger reliability standards, and more resilient transmission planning practices. What makes me proud is knowing that the solutions I build don’t just support one team—they help modernize how utilities adapt to accelerating demand while keeping communities and critical infrastructure reliably powered.