Judging Panel
Chandrani Mukherjee
As a Sr. Solution Enterprise Architect and MS in AI/ML from Liverpool John Moors University , UK, I have been a key contributor to global organizations like Mphasis AI, McKesson, First Abu Dhabi Bank, Etisalat Telecommunications, where I played a pivotal role in initiating and driving significant progress in their AI transformation journeys. I have also been part of global Hackathon (Apollo AI Hackathon) and tech fairs (Mphasis AI and MoneyGram Haas F1 Team Partnership event) demonstrating AI and bringing AI in real. I have 12+ years of experience in I.T. and experienced in advanced technology in AI like GenAI, Agentic AI and RAG. As a Senior Solution Architect specializing in advanced Generative AI technologies, with in depth experience in machine learning (ML) and algorithm design, I have significantly contributed to groundbreaking AI driven solutions and have been a key participant and speaker at renowned global tech events and fairs, showcasing thought leadership and innovation in the AI industry. Demonstrated Advanced AI application in Mphasis Tech Events with global leaders. As AI/ML Architect and Data Analytics Engineer with 12+ years of overall experience in AI/ML my key skills include ground breaking AI technologies like Gen AI, LLMs, RAG, Langchain, Modernized Chatbots, AI, AWS, Azure, Chatbot, Python, Django, IOT, Angular, AWS, Ansible, Docker, Core Java, Java Script, and REST API. Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University with extensive AI Chatbot experience, NLP, and MS Azure Cognitive Services. Experience using Glove Large Language Modeling as word embedding to vectorize sentences. Used AI ML libraries like sklearn and keras. Strong expertise in software development life cycle, DevOps and automation with both product base companies and service companies handling client requests.


Awards Judged
