Aswath Senthilkumar

Software Engineer @Vian

US

Developed Graph Neural Network (GNN) and ensemble learning models to predict drug–cancer compatibility, achieving over 85% accuracy and exposing predictions via RESTful APIs for real-time access.• Engineered a scalable microservices architecture with integrated ML pipelines supporting feature engineering, SHAP-based explainability, and biomedical literature integration for evidence-backed predictions.• Designed an interactive analytics dashboard using Next.js and React, enabling users to explore multiple cancer types and candidate drugs, visualize biological networks, and interpret AI-generated scores with confidence metrics.• Implemented multi-platform deployment using Docker with automated CI/CD pipelines, ensuring 99.9% uptime, robust error handling, and sub-2s API response times under production workloads.

Arizona State University

Master's degree, Computer Science

Rajalakshmi Engineering College

Bachelor of Engineering - BE, Computer Science