Abhishek joined IBM in the Watson group to scale NLP pipelines. The end-to-end NLP system was engineered to be production-ready with key features like elasticity, reliability, fault-tolerance with near-real-time capability to process several hundreds of thousands of text documents of varying sizes. The system for inference had ten's of threads running on hundreds of cores with the capability to scale horizontally and vertically. For creating a modular NLP stack he was awarded Outstanding Technical Achievement Award (OTA) by IBM. The NLP stack engineered is currently being used in several IBM products. He has 30+ patents filed in the field of Distributed computing and AI. He is passionate about the systems meet AI paradigm in the enterprise. More recently he is focussing on resource management in hybrid cloud for HPC workloads.