https://www.gartner.com/en/experts/sumit-agarwalI am actively working on:- Deep inside the Large Language Model (LLM) ecosystems. Defining the reference architecture, frameworks, and a tech stack for solution implementations- Defining end-to-end solution for implementing machine learning & artificial intelligence at scale using MLOps across cloud (AWS, Azure and GCP) and on-premises using open source and other platforms- Embedding responsible AI - bias mitigation, explainability within the architecture and not as an after-thought- Brainstorming with and advising data scientists on approaches to improve ML models and think beyond the normal techniques- Advising senior leaders and practitioners at the same time across 100s of global organizations and industry verticals- Presentations at conferences and podcasts - Gartner Catalyst 2019, Data & Analytics Summit 2021 - 2023. I am honored to be selected as the Conference Chair for the Mumbai Data & Analytics Summit. - Mentoring school and college students interested in AI I am also a technology leader with proven experience leading the implementation of large data and analytics solutions. I believe in keeping a balance of innovation and pragmatic approaches. I have always enjoyed being hands-on with the various technologies that I have worked on:- Implemented self-service analytics at scale from idea to implementation: Solution design including BI tools, semantic layer architecture, data warehouse re-architecture, user evangelism and training, establishing a community of practice- Early implementations of AI projects - Defined an approach to identify, select, experiment, and implementation of use cases across several business groups. The proof of concepts included conversational AI and machine learning projects across multiple business and functional groups- Architected and implemented a middle-ware cloud based iPaaS solution providing easy integration between the cloud based platform and several globally distributed client on-premises systems- Lead, designed, re-architected and implemented real-time, service based and batch integrations across disparate systems using middle-ware, messaging and ETLs.- Lead globally distributed teams across US, Europe and India
Listed skills include Data Warehousing, Oracle, Unix, Business Intelligence, and 24 others.