Experience & Research

• Collaborated with a diverse group of computer science students to create AI-driven applications, gaining valuable experience in software development and API integrations.
• Participated in mentorship sessions with industry leaders, gaining insights into startup dynamics from ideation to market entry.
• Developed skills necessary to thrive in a fast-paced, innovative environment focused on AI technologies.

Analyzed survey data (n=139) using regression; found 65% decline in sleep quality and 0.37-point reduction per additional hour of phone use. Structured behavioral interventions showed 30% reduction in fatigue.

Explainable ML analysis of 87K VR cricket deliveries - three XGBoost models with SHAP interpretability. Key findings: lateral head-ball alignment as dominant contact predictor (SHAP=0.38), bat velocity as universal boundary predictor (AUC holdout drop <0.005). Includes percentile-based scouting system.