MongoDB.local Bengaluru

About this event

General Session 9:00 am-10:15 am Convention Centre India's builders are making the platform decisions that will define where AI runs for years. The morning general session brings together MongoDB leaders and the companies already shipping production AI in India — not in demos, not in pilots, but at scale. Hear the latest product announcements, learn how to get retrieval right so your AI works when it counts, and see how Emergent Labs and Observe.Ai went from idea to production on MongoDB. If you're ready to move from proof-of-concept to real-world application, this is where it starts. Erica Volini Chief Customer Officer MongoDB Benjamin Cefalo Chief Product Officer, Core Products MongoDB From MVP to Hyper-Scale: Smart Database Scaling with MongoDB Atlas 10:45 am-11:30 am Scarlet 1 As applications grow, database requirements change dramatically. What works for an MVP may not be enough to support millions of users, high-throughput transactions, and mission-critical workloads at scale. In this session, Pine Labs will share how they approached scaling challenges in a rapidly growing payments environment, including the architectural decisions required to support increasing transaction volumes, maintain reliability, and deliver consistent customer experiences. Along the way, you’ll learn how MongoDB Atlas helped support that growth from early scale to production-grade operations. Together, these experiences illustrate how organizations can build a data foundation that evolves with application demands—without sacrificing performance, agility, or innovation. Rashi Yadav Senior Solutions Architect MongoDB Vaibhav Mehra Advisory Solutions Architect MongoDB From RDBMS to NoSQL at Enterprise Scale 10:45 am-11:30 am Convention Centre Relational databases have powered enterprise applications for decades, but many organizations now face growing challenges with scale, performance, cost, and development velocity. As application requirements evolve, teams are rethinking the foundations of their data architecture. In this session, we’ll explore the shift from relational to document model thinking, including how schema design in MongoDB can reduce query complexity, improve performance, and support modern application development at scale. IBS Software, a global leader in aviation and travel technology, will share the modernization journey behind its iHospitality platform and what drove their move from a relational database approach to MongoDB. You’ll hear how they evaluated the need for greater scalability, flexibility, and performance, the lessons they learned along the way, and how they are continuing to evolve the platform to support future growth at enterprise scale. You’ll leave with practical lessons on modernization planning, schema design, and how to evaluate your own path from RDBMS to MongoDB for mission-critical applications. Pete Johnson Field CTO, AI MongoDB Anil Abraham Vice President & Head of Technology IBS Software Modernizing a Cloud-Native, AI-First Service Mesh with MongoDB as the Transactional Source of Truth 10:45 am-11:05 am Amarllyis At TransUnion, we build solutions that deliver actionable insights and advance our mission of Information for Good. As organizations expand cloud-native platforms and AI-powered applications across open-source, public, and enterprise data ecosystems, they need a transactional foundation that is resilient, scalable, secure, and flexible. In this session, we will share the challenges, lessons learned, and best practices from modernizing a mission-critical cloud-native service mesh with MongoDB as the single source of transactional truth. We will cover how this platform enables dynamic data provisioning for thousands of customers and millions of data assets, while preserving data integrity through continuous change and distributing updates seamlessly to downstream business and operational intelligence systems using technologies such as MongoDB Change Streams. We will also explore layered architectural patterns that can help architects evolve existing cloud-native platforms for agentic AI use cases, including vector databases, RAG pipelines, inference workflows, and modern AI guardrails. Ramesh Kumar Manickam Senior Director Transunion 💻 Creating Compelling Search Experiences: Exploring MongoDB’s Advanced Search Features 10:45 am-12:15 pm Zinnia Join this session for a journey into modern search capabilities. Delve into the art of full-text search using MongoDB Search as your compass. As we navigate deeper, discover how to enrich your application and power AI capabilities with semantic search using MongoDB Vector Search. Get ready to roll up your sleeves and engage in a hands-on experience that equips you to transform your user experience. During the session, you’ll have the opportunity to earn the Search Fundamentals skill badge that you can add to your LinkedIn profile. Bohyun Jung Senior Developer Advocate MongoDB 💻 Hands-On Lab: Data Modeling for MongoDB—From Relational to Document Model 10:45 am-12:15 pm Scarlet 2+3 Join us for a hands-on workshop on data modeling to learn how MongoDB’s flexible document model compares to traditional relational models. Together, we’ll walk through the MongoDB data modeling methodology: Identify entities Quantify application workloads Model relationships with embedding or referencing We’ll apply this methodology through practical exercises to build the schema for a sample application—a library management system. Additionally, you will learn how to use MongoDB’s schema validation to ensure data integrity and consistency. Skill badge opportunity: Relational to Document Model Rishi Agrawal Developer Advocate MongoDB 5 Core Embeddings Choices for Developers 11:10 am-11:30 am Amarllyis Building with embeddings introduces a set of foundational decisions that shape the behavior and performance of AI applications. In this session, we will explore important embedding considerations and how they fit into real-world AI system design. Attendees can expect perspective on how these choices show up in practice, without focusing on a single implementation or approach. Sangram Mohite Senior Solutions Architect MongoDB Your AI Can See Everything. Should It? 11:35 am-11:55 am Amarllyis AI agents are querying enterprise databases right now — and most organizations have no idea what they can access. In this session, 3T Software Labs CEO Peter Caron explores why the rise of agentic AI has created a new class of data governance problem that traditional access controls were never built to solve, and what a governed-by-architecture approach looks like in practice for MongoDB organizations operating at scale. Peter Caron CEO 3T Software Labs Atlas Stream Processing: Event-Driven Architectures without the Complexity 11:40 am-12:00 pm Scarlet 1 Event-driven architectures promise real-time responsiveness, but many organizations struggle with complex architectures, scaling bottlenecks, fragmented workflows, and rising operational costs. In this session, learn how Atlas Stream Processing helps simplify event-driven application development by processing data in motion directly within MongoDB Atlas using the familiar MongoDB Query API. Hear from Zomato as they share how they transformed a Kafka-based architecture that relied on multiple external services into a more streamlined approach. Learn how they streamlined their architecture to improve scalability and operational efficiency while reducing infrastructure costs. Learn how leading organizations are simplifying real-time architectures while improving scalability, operational efficiency, and cost performance. Vinod Krishnan Advisory Solutions Architect MongoDB Rajat Taya Data Platform Lead Zomato Running Highly Resilient MongoDB EA at Scale 11:40 am-12:10 pm Convention Centre Building enterprise AI products is challenging enough. Running the infrastructure behind them securely, reliably, and at scale is a challenge of its own. In this session, hear how Kore.ai used MongoDB Enterprise Advanced to support the rapid growth of its enterprise AI platform while meeting the resilience, security, and operational requirements of global customers. The team will share how they designed for high availability, streamlined operations across complex MongoDB deployments, and used MongoDB Ops Manager to simplify monitoring, automation, backup, and lifecycle management at scale. The discussion offers a real-world perspective on balancing resilience, security, and operational efficiency in self-managed MongoDB environments. Prasanna Arikala CTO & Cofounder Kore.ai Nishit Rao Senior Solutions Architect MongoDB 💻 Building Agentic AI Applications with Kiro CLI and MongoDB Atlas 1:00 pm-2:30 pm Zinnia In this module, you'll use Kiro CLI — AWS's conversational AI-powered development tool — to build, test, and deploy a complete travel recommendation agent powered by Amazon Bedrock and MongoDB Atlas. Rather than writing code manually, you'll use natural language prompts to guide Kiro CLI through the entire workflow: downloading and importing a travel dataset into MongoDB Atlas, creating vector search indexes for semantic retrieval, building a Strands-based AI agent that leverages foundation models for intelligent recommendations, and deploying it to the AgentCore serverless runtime. Along the way, you'll learn how conversational development enables rapid iteration, automatic configuration, and intelligent troubleshooting — culminating in a production-ready AI agent accessible via the AgentCore CLI and an optional Streamlit web frontend. Avinash Venkatagiri Partner Solutions Architect AWS 💻 The A to Z of Building AI Agents 1:00 pm-2:30 pm Scarlet 2+3 You'll need your laptop to fully participate in this hands-on session. 💻 Agents aren't a new paradigm in AI anymore — they're the new baseline. In this workshop, you will learn the core concepts of AI agents, including reasoning, tools, and memory. You will also learn about different agent architectures. Finally, you will build a MongoDB learning agent that uses MongoDB as the agent's memory and knowledge store, a Claude model, and LangGraph to orchestrate the end-to-end agentic workflow. Skill badge opportunity: AI Agents with MongoDB Sejal Khanna Senior Developer Advocate, Developer Advocacy MongoDB Building Production-Grade AI Agents with MongoDB and Voyage AI 1:25 pm-1:55 pm Convention Centre Most LLM applications today remain stateless, treating every interaction as if it were the first. This creates a fundamental barrier to building AI systems that can learn from feedback, retain context, and improve over time. In this session, explore how developers can move beyond ephemeral context windows to build stateful, memory-rich agentic systems using MongoDB and Voyage AI. Through a practical walkthrough, you’ll see how hybrid search, reranking, and agent memory work together to improve retrieval quality, preserve context across interactions, and enable more reliable agent behavior. We’ll show how MongoDB Atlas can serve as the unified data layer for modern AI applications—combining operational data, vector search, knowledge retrieval, and agent memory in a single platform. The session will also explore the core memory patterns behind production-grade agents and how agents can use external tools and data sources to adapt to changing context over time. The result is a practical framework for building AI systems that can reason, remember, and deliver more accurate, personalized experiences. Ajay Rag Advisory Solutions Architect MongoDB Suhas HG Senior Solutions Architect MongoDB Operationalizing MongoDB at Enterprise Scale: What It Takes 1:25 pm-1:45 pm Amarllyis As MongoDB deployments grow, the operational burden grows with them — provisioning, patching, backup, point-in-time recovery, and managing consistency across dozens of clusters. This talk covers what it takes to build a reliable operational layer for MongoDB at enterprise scale, the challenges we encountered, and what teams should think about as their deployments mature. Anand Chandak Group Product Manager Nutanix Nidhi Bisht Regional Sales Manager Nutanix Your Data, Your Rules: Building DPDP-Ready Data Governance & Sovereignty with MongoDB 1:25 pm-1:55 pm Scarlet 1 More details coming soon! Pushkar Kothavade Senior Solutions Architect MongoDB Ramakrishnan Lakshmanan Ramakrishnan Lakshmanan MongoDB Building Real-Time Telemetry Applications with MongoDB Time Series and Geospatial Queries 1:50 pm-2:10 pm Amarllyis Real-time applications often need to solve two problems at once: ingesting high-volume event streams and making that data easy to query by both time and location. In this session, we’ll show how MongoDB helps developers do both using Time Series collections and geospatial queries. Using drone telemetry as the concrete example—but with patterns that apply broadly to IoT, fleet management, logistics, connected products, and asset tracking—we’ll walk through how to model, store, query, and visualize high-frequency telemetry data at scale. Attendees will learn how to: Model time-based, location-aware data for high-ingestion workloads Use MongoDB Time Series collections to optimize storage and query performance for telemetry streams Combine geospatial queries with recent and historical telemetry analysis Build real-time operational dashboards and insights without moving data across multiple systems Nitish Joshi Senior Solutions Architect MongoDB Event-Driven Payments: Building Real-Time Aggregation Platforms 2:05 pm-2:35 pm Convention Centre Modern payments are more than transactions - they are continuous streams of operational events. Building platforms that can aggregate, process, and act on those events in real time requires an event-driven architecture designed for scale. In this session, hear how Flipkart implemented payout aggregation in real time using MongoDB, leveraging an event-driven architecture to deliver operational visibility and real-time insights across a high-volume payout ecosystem. The discussion will cover key architectural decisions, scalability considerations, and lessons learned from building and operating payout systems at scale. You’ll leave with practical insight into how modern data platforms can support real-time aggregation, resilient event-driven design, and better operational control for payout systems. V A Vinay Agarwal Manager, Solutions Architecture MongoDB Divey Jain Senior Engineering Manager Flipkart From Voice AI to Actionable Intelligence: Building AI-Powered Customer Interactions 2:05 pm-2:35 pm Scarlet 1 Voice AI is rapidly moving from experimentation to production, creating new opportunities for organizations to automate customer interactions and improve service experiences at scale. But delivering reliable, enterprise-grade Voice AI requires more than speech recognition—it demands the right architecture, operational discipline, and scalability from day one. In this session, Gnani will share lessons learned building and deploying Voice AI systems in production. Attendees will gain insight into the technical and operational considerations required to move from initial deployment to enterprise scale, including reliability, orchestration, performance, and real-world implementation challenges. Learn how organizations are building Voice AI solutions that are scalable, resilient, and ready to support mission-critical customer interactions while delivering measurable business impact. Bharath Shankar CPO Gnani Mahima Saran Senior Solutions Architect MongoDB MongoDB at the Core of a No-Code Platform: Architecture, Challenges, and Scale 2:15 pm-2:35 pm Amarllyis Building a no-code platform presents unique data challenges. Every customer can create different applications, define custom schemas, and generate unpredictable workloads. Supporting that level of flexibility while maintaining performance, scalability, and tenant isolation requires careful architectural decisions. In this session, Workhall will share how MongoDB serves as the core data platform behind its no-code offering. Attendees will gain insight into the architectural patterns used to support dynamic data models, workflow execution, multi-tenant environments, and enterprise-scale operations. Attendees will gain insight into the architectural patterns used to support dynamic data models, workflow execution, multi-tenant environments, and enterprise-scale operations. Mathan Manimaran Workhall 💻 Building Apps with MongoDB and Agentic Coding Tools 2:45 pm-4:30 pm Zinnia You'll need your laptop to fully participate in this hands-on session. 💻 The future of building software is developers working with AI to move faster, and spend more time on the problems that actually matter. This workshop is a practical introduction to that future. We'll survey the current landscape of agentic coding tools and walk through best practices for using them to ship faster. You'll also get hands-on experience by configuring an IDE with an agentic coding tool of your choice, MongoDB's MCP server, and agent skills that you will use to build an AI-assisted MVP during the session. You'll leave with a working environment, a project you built yourself, and a clear sense of how to apply these tools to your future projects. Bohyun Jung Senior Developer Advocate MongoDB 💻 Designing Memory for AI Agents with MongoDB 2:45 pm-4:45 pm Scarlet 2+3 You'll need your laptop to fully participate in this hands-on session. 💻 AI agents need memory to maintain context across sessions, learn from experience, and handle long-running tasks. The challenge? Deciding what to remember, where to store it, and how to retrieve it when it matters.In this workshop, you'll learn a practical framework for architecting memory systems that actually work in production. We'll cover: Types of memory in agentic systems Storage patterns: Where to persist memories and how to structure them for retrieval Retrieval strategies: Combining vector search with metadata, recency, and other signals Memory lifecycle: When to create, update, or prune memories to keep your system performant You'll apply this framework by building memory into an AI agent and seeing how different design choices impact behavior. Wen Jie Teo Senior Developer Advocate MongoDB Building Mission Critical Enterprise SaaS 3:00 pm-3:30 pm Convention Centre Every enterprise SaaS company begins with a bold idea. Over time, that idea must evolve into a platform capable of supporting millions of users, massive volumes of data, and increasingly complex requirements for reliability, security, and scale. This panel brings together leaders from Leena.ai, Freshworks, and Infosys to discuss what it takes to build and operate mission-critical enterprise SaaS. Drawing on experiences across AI-native software, global SaaS platforms, and enterprise technology services, the conversation will explore the architectural and operational decisions that shape long-term success. Topics will include scaling applications and data infrastructure, maintaining reliability and performance across geographies, balancing agility with governance, and building the trust required to support enterprise customers. Across every stage of growth, one reality remains constant: the choices organizations make about their data foundation influence what they can build, how quickly they can innovate, and how effectively they can earn and maintain customer trust. Aamir Sait Area Vice President, Enterprise, Growth MongoDB From Data to Intelligence: Accelerating App Innovation with MongoDB and Google Cloud 3:00 pm-3:20 pm Amarllyis More details to come! The Agentic Stack: How MongoDB Atlas, MCP, and Auto-Embedding Power Apps at Scale 3:00 pm-3:30 pm Scarlet 1 When Emergent set out to deploy 100,000 applications in just 12 months, they needed a platform capable of supporting rapid innovation, autonomous operations, and AI-driven experiences at scale. In this session, Emergent’s Chief Enterprise Architect will share why MongoDB Atlas became the foundation for their agentic development platform, how they built autonomous database infrastructure using Atlas MCP Server and APIs, and the architectural decisions that enabled their teams to move quickly while maintaining reliability at scale. You’ll learn how a unified platform spanning operational data, search, and vector search helped simplify development, reduce operational complexity, and accelerate delivery for a fast-growing AI-native company. Building on that foundation, MongoDB will demonstrate how capabilities such as Auto-Embedding can further simplify AI application development by reducing the complexity of managing embeddings and semantic search workflows. Aravind Asha Ramachandran Senior Solutions Architect MongoDB Avinash Vishwakarma Chief Architect and Founding Member Emergent From Vector Search to Multi-Stage Retrieval: Improving RAG Accuracy in Production 3:25 pm-3:45 pm Amarllyis As retrieval-augmented generation (RAG) applications move into production, delivering accurate and relevant results becomes increasingly important. While vector search provides a strong foundation, many teams discover opportunities to further improve retrieval quality as application requirements evolve. In this session, Kovai will share how they evolved their retrieval pipeline from MongoDB Atlas Vector Search to a multi-stage retrieval architecture, and the impact it had on answer quality in production. You’ll learn how the team identified retrieval challenges, improved relevance, and measured the effectiveness of different approaches as their RAG implementation matured. Whether you’re building AI assistants, search experiences, or enterprise RAG applications, this session offers practical insights for improving retrieval accuracy and delivering better outcomes in production. Surya Murugan Kovai Sriharan Thirumurithi Kovai Building Intelligent Video Search Pipelines with Multimodal AI 3:40 pm-4:10 pm Convention Centre Video is one of the fastest-growing sources of unstructured data, yet it remains difficult to search and understand at scale. Traditional approaches often rely on transcripts and metadata alone, leaving valuable visual and contextual information locked inside the content itself. In this session, the Brahma AI team will share how they built an intelligent video platform and why MongoDB Atlas became a foundational part of their architecture. You’ll also learn how multimodal embeddings, Voyage AI models, and MongoDB Atlas Vector Search work together to enable semantic understanding across video, images, and text. The discussion will explore practical approaches to indexing, retrieving, and working with large volumes of video content, as well as lessons learned building AI-powered search, editing, and content delivery experiences. See how a unified platform spanning operational data, search, and vector search can help unlock the value hidden within unstructured media. Utsav Talwar Solutions Architect MongoDB Venkatesan Jagannathan Senior Enterprise Architect and Head of Product Engineering Brahma AI Building Scalable Payments Solutions with MongoDB Atlas 3:40 pm-4:10 pm Scarlet 1 Few growth stories in Indian tech match the trajectory of Physics Wallah — from a single YouTube channel to one of India’s largest education platforms. Supporting that growth required a payments infrastructure capable of handling large-scale transactions with reliability, scalability, and operational simplicity. In this session, learn how the team built a unified payments platform that supports EMI plans, UPI mandates, subscriptions, instant course access, and multi-tenant operations using MongoDB Atlas. The session explores the architectural decisions behind the platform, including database-per-tenant isolation, dynamic fee configuration, automated tenant onboarding, and event-driven payment processing. Attendees will also learn about the production engineering patterns used to ensure correctness and reliability at scale, including ACID transactions, idempotent webhook processing, immutable audit trails, atomic counters, and document-level locking. The session concludes with a look at how Physics Wallah is preparing its platform for future AI-powered experiences S G Swaroop Ghosh Senior Engineering Manager Physics Wallah Making Sharding Practical at Scale with MongoDB 8.0 Resharding 3:50 pm-4:10 am Amarllyis More Details to Come! Siddharth Gupta Senior Solutions Architect MongoDB

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