Umashankar Sinha

Background

About Umashankar Sinha

I specialize in solutioning and implementing cutting-edge Artificial Intelligence & Machine Learning (AI & ML) and Generative-AI (Gen-AI) solutions to tackle key business challenges. With hands-on experience in developing multi-agent solutions utilizing Large Language Models (LLMs) with the GPT-4 model, I leverage the LangGraph framework in Python 3.11. My responsibilities encompass providing thought leadership in exploring and applying Machine Learning, Artificial Intelligence, Gen-AI, and Gen-AI Copilot use cases. I work as a consultant to shape ideas and connect the dots, designing, integrating, and implementing AI solutions with hands-on involvement. In addition to technical work, I build and lead teams to develop AI skills and expertise. I have hands-on experience with OpenAI use cases using the LangGraph framework. My deep knowledge includes Machine Learning methods such as Supervised Learning, Ensemble Techniques, Unsupervised Learning, Feature Engineering, Model Tuning, Neural Networks, and Deep Learning. I also possess strong expertise in applied statistics. Certifications: AI-900 and AI-102 trained, along with diverse training in related areas With over 18 years of comprehensive experience, I am a seasoned professional adept at leading multifaceted programs across diverse technologies (AI & ML, MDM, Data Analytics, Cloud, Big Data) and domains (Banking, Retail, GIS), managing cross-functional teams in culturally varied environments. In my past projects, I have extensive experience in system design, data architecture, data management, data governance, and program management. I have delivered Master Data Management (MDM) solutions for Green Field Data Management & Data Governance using technologies such as Informatica MDM, BDQ, Axon, and EDC, as well as the Azure data analytics platform. In the realm of Data Management & Analytics (DM & A), I have successfully delivered intelligence operations using Splunk ITSM and the Splunk Machine Learning Toolkit. Additionally, I have managed deliveries from Hadoop as a Service (HaaS) and NoSQL as a Service (NaaS). My diverse technical experience also includes working on AWS migration RFCs. I possess proven expertise in program management, vendor management, people management, process management, demand forecasting, data architecture, data governance, data management, and cloud platforms like Azure and AWS.