Developing a real-time monitoring dashboard using AVEVA PI System Explorer and PI Vision to visualize and track data center load volatility, allowing the balancing authority to make proactive grid management decisions.

Built an XGBoost-based forecasting model that improved winter peak load accuracy and model explainability, enabling more reliable demand planning and operational efficiency.

Built a BERT-based deep learning model to enable advanced patient similarity analysis.

Delivered actionable mortality insights to the medical team by performing delayed entry Kaplan–Meier survival modeling on commercial drug data.

Developed edge detection algorithms and an automated CI/CD test system for an autonomous driving vehicle with LiDAR.

Designed and implemented unit tests to validate system stability and ensure reliable deployment.

Played a key role in advancing the firm's Generative AI initiatives, including developing a custom AI agent for text-to-SQL translation and data visualization.

Participated in biweekly sprint meetings, presenting development updates and collaborating on project milestones.