- Exploring the beautiful world of GenerativeAI and its applications to Telecom and Retail. LLMs applied to supply chain decision process and predictive anomaly detection. - Unifying supply chain, pricing and demand for Telecom, Manufacturing and Retail. Building appropriate APIs, indicators and integrators to serve analytics and insights for these domains through a platform. Answering the following questions, - Building and owing a unified, fast, user friendly MLOps platform for the development, deployment and monitoring of AI services at speed and scale. I am currently leading the AI in Telecom and Retail, solving problems for our businesses. General suite of problems I am/have solving/solved:- - Telecom churn prediction, demand and flow estimation. - Demand planning, causality, optimisation - Reliability analysis of devices/ sensors - Survival modelling , health quantification and parts failure Technologies/Frameworks: - ML - Likelihood based approximation methods , clustering, Bayesian based methods and user profile estimation - DL - temporal behaviour analysis using RNN(LSTM), Reinforcement learning (RL) - Optimisation. - MILP, Genetic Algorithms