Yash Rathod

Defined and owned the AI product roadmap across 16+ portfolio products and shipped agentic AI workflows for marketing content generation across the suite; led ISO 27001 compliance as a CEO-level cross-functional program and deployed an in-house project management system that improved team throughput by 20%.

Delivered user-segmentation analytics and revenue-forecasting models that improved business planning precision by 18%, and built self-serve Tableau BI dashboards to enable faster evidence-based decisions for leadership.

Led 0-to-1 AI product development and go-to-market across three hospital pilot sites, authored PRDs and investor narratives, and secured partnership validation from 8+ incubators while managing cross-functional pods and roadmap prioritisation.

Completed a medtech innovation fellowship and managed 35+ stakeholders to define requirements and deliver healthcare workflow solutions, shipping process improvements that reduced turnaround time by 20%.

Built end-to-end ML models (CatBoost, RF, XGBoost) on a 541-record dataset, achieving 96% accuracy (AUC 0.97) through feature engineering and SelectKBest-driven dimensionality reduction to balance performance and interpretability.

Led user acquisition across 15+ institutions, onboarding 400+ users and improving retention by 30% through structured engagement and growth experiments aligned with executive strategy.

Grade: 8.19

Activities and societies: MTech project on MRI image segmentation; IEEE publication on machine learning

MTech focused on MRI image segmentation and deep learning, delivering a PyTorch U-Net with validated quantitative performance metrics.

Grade: 8.67

Activities and societies: Undergraduate coursework; IEEE-related research cited in subsequent studies; extracurricular leadership in technical events

Completed undergraduate engineering degree with strong academic performance and engagement in technical projects and competitions.