Experienced Cognitive Automation Consultant with a demonstrated history of working in both academic and industrial environment. Skilled in Natural Language Understanding, Computer Science, Deeplearning ,Statistics, devops, Agile and design thinking. Strong engineering professional with several NLU/deep learning automation projects deployed in production helping millions. I possess diverse experience across healthcare, marketing, media / scholarly publishing and e-commerce. Currently working as a Data Science Manager leading a cross functional team to Build GenAI solutions. Have worked on in house development of various generative AI tech using massive super compute HPC facilities for customer facing use cases spanning NLP and computer vision. Key Achievements: Market Intelligence and Entity Mapping for e-commerce Projects at a top e-commerce giant in Singapore. Achieved a 98.78% AUC score for competitor product matching. End to End NHS Medical Transcription Automation. Improved average medical transcript processing Increasing transcript worker productivity by 50%. Automated proofreading and Grammatical Error Correction using Hybrid deep learning and text correction Algorithms for two leading academic publishing. Achieved a 67.9% F1 score for automated proofreading. Fast Corpus search across six lakh academic manuscripts. Improved average response times for manuscript search at ~ 934 ms with streaming delivery of results for better user experience. Developed an NLP framework under a Six Sigma umbrella for automatically classifying and correcting medical transcription errors in the UK healthcare market. Developed a sentence prediction tool using deep learning for NHS UK medical transcription market. Achieved the theoretical maximum prediction score of 56% hit-rate.