Phaniraj Vuyyuri

• Directed delivery of Atlas eCommerce Migration from legacy to headless architecture (React, Next JS, WCS), improving page load speed by 30% and reducing cart abandonment. The flowing features are implementing in Headless shopping cart - Different views (Standard & Compact), Quick Order Flows, Items in your order, Cart settings, Quick order, Shopping cart preferences, Order Information Settings, e-spots, Update Shopping Preferences Page. Tech stack: React JS, Next JS, WCS, API, ADO • Led end to end Demand Engine - AI-powered demand forecasting solution for parts and service operations, leveraging Large Language Models (LLMs), RAG and Generative AI to improve forecast accuracy, optimize inventory, and enhance service readiness. The solution integrates historical demand data, service logs, maintenance records, seasonality patterns, and external signals (weather, usage trends) to generate intelligent, context-aware forecasts for spare parts and service requirements. Incorporated evaluation metrics such as MAE (Mean Absolute Error), RMSE (Root Mean Squared Error), Forecast Accuracy %. Tech stack: Python, pandas, NumPy, scikit-learn, APIs, ETL pipelines, LLM APIs- GPT, GCP • Oversaw cross-functional teams (28+ engineers, analysts, BAs, QAs) and ensured timely delivery through Azure DevOps CI/CD pipelines.