25 years of work experience in IT Industry, passionate about entrepreneurship, AI, and software architecture. Key Achievements: TCS Distinguished Engineer, Global Winner Tata Innovista Award 2012, TCS Young Scientist Award, Research Publications (55+), & Patents (30 Unique, 200+ Global), Keynote Talks, Blogs, Book Chapters. Have lead customer impact via large enterprise deals. These days: Large language models, Generative AI, and Software engineering. Building very cool solutions in the Fashion Technology that will revolutionize the online shopping experience for consumers. Technology: Expertise in Machine Learning, Deep Learning, Artificial Intelligence (Natural Language Processing, Sensor Data Analytics, Data Science, Computer Vision, and Speech Processing); Software Architecture Patterns, Digital Technologies, Blockchain, and Cloud Computing. Domains: Fashion & Retail, BFSI, Ports & Shipping, Life Sciences, HR & Recruitment; Automobiles & Manufacturing; Energy etc. My Strengths: Hands-on Developer, Strong Mathematical Background, Deep Knowledge of Technology, Connects with people, and received appreciation from people for my acumen on application of technology to solve real life problems. ===================================================================== Brief About 2 Years @ Zensar, as CTO: - Head of Zensar's research labs: ZenLabs - Responsible for scaling up the AI/ ML business, as well as delivery. - Won large AI based contract based on computer vision & deep learning. ===================================================================== 22 Years @TCS Research Publications - 55+ Patents: 30+ Unique Patents, 200+ (when replicated worldwide) Also served on Program committee of Applied Data Science Track of KDD in recent past - Accomplished scientist in machine learning and deep learning Built a portfolio of Semantic AI Products: - Platform for Conversational Systems: Deep NLP and Speech Processing - KM & Information Retrieval: Knowledge Graphs and Semantic AI - Digitization of Documents, Images and Drawings via Computer vision - Information Extraction from Unstructured Text /Documents - Customer connect to understand relevant business problems - User Experience, Product portfolio owner, Product Management, Product Vision, Software Technical architect