Vidit Bhatia

  • Lead strategy and execution of ONDC's 𝗠𝗼𝗱𝗲𝗹 𝗚𝗮𝗿𝗱𝗲𝗻(ONDC's curated catalogue of foundation and domain-specific AI models for network participants), 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 roadmap across the network's tech stack.   • Architecting 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹 — an open, interoperable standard for AI agents to transact on behalf of buyers and sellers at population scale.   • Driving ONDC's 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 — frameworks for data governance, interoperability, and AI-readiness across a multi-participant network.   • Expanding digital commerce into Tier 2 and Tier 3 cities, helping small merchants and local businesses come online and grow through ONDC.

▸ AI Systems — driving the AI strategy and building the models and pipelines that power interactive coaching, adaptive learning, and intelligent content generation ▸ Backend Architecture — designing and scaling the infrastructure that supports millions of learner interactions across K-12, higher ed, and enterprise ▸ Engineering Team — building and leading the engineering org across AI and backend, setting technical direction, and establishing the practices that let a fast-growing team ship with quality ▸ Product — contributing to product strategy, translating technical capabilities into features that instructional designers and educators actually want to use

Leading high-impact engineering teams to build scalable, ML- and GenAI-powered platforms for Adobe Experience Platform (AEP). Currently focused on:   • Building GenAI-driven solutions for Martech at scale   • Translating product vision into robust, production-ready systems   • Growing strong engineering leaders and high-ownership teams   • Driving platform thinking across data, knowledge, and agentic experiences Passionate about building from zero to one, raising the engineering bar, and creating customer-first AI products.

Leading the Data Engineering (EQS) and Applied AI/ML team for AEP

1. Created a chat assistant based interface for data insights with a fully developed backend for surfacing the data insights for the big data. 2. Segmentation AI - Helping our customers understanding there customers better leading to creation of segments to increase customers objectives towards successful conversions . Lead a team of 3 backed engineers , 2 UI engineers and 5 Data Scientist to deliver the product successfully to the customer . The service is multi tenant and is highly optimized for low cost execution

I am currently working on two projects:- 1. Technical Lead on mobile messaging strategy for Adobe campaign solution - Design and Implementation of Personalized Targeted marketing and Transaction multi channel messages for mobile marketing . 2. Design and Development of Auto Scalable distributed service for mass volume multi channel message processing- One of the architects in design and implementation of a multi tenant service for processing messages.

Working on creating next generation of social solution for Adobe Experience Manager called AEM Communities. My responsibilities include creating new social components for the product with focus on optimization and Mobile friendliness. I am also working on creating an extensible Mobile Application Framework for the product.

Worked as mobile Developer for AEM Communities Mobile Application, Worked on Performance optimization of AEM based Communities Solution and also implementation of server side functionality using OSGI bundles and AEM granite framework

I worked as part of the Adobe Connect team and contributed to the AEM platform

Tool Development, Data Visualization, Research in the field of Social Media Mining

I am working on a Web based project in the field of Social Media Mining. The project is in JAVA ,JavaScript and JQuery.

Research and Development

Research and development

development on J2EE technology in the vertical Banking and financial services (BFS1)