Christian Tzolov
R&D Software Engineer in the Spring team at Broadcom
Amsterdam, The Netherlands
Actions
Christian Tzolov, R&D Software Engineer at Broadcom's Spring team, leads the Spring AI and MCP Java SDK projects. He specializes in connecting enterprise systems with AI capabilities, helping Java developers build intelligent applications. Christian brings hands-on experience and a pragmatic approach to making advanced AI concepts accessible and useful for real-world applications.
Links
Area of Expertise
Topics
Steaming Runtime for Kubernetes
The Streaming Runtime is a Kubernetes execution environment, designed to simplify the development and the operation of streaming data processing applications.
By separating the query and processing operations, it extends time-windowed and streaming join processing to any programming language.
Out of the box the Streaming Runtime offers:
- A standardised container runtime contract which moves much of the stream management to runtime managed components.
- Resource auto-scaling.
- Declarative Ops management tooling for application management, including rollout and multi-cluster deployment.
- Use of OCI images enables integration with existing supply-chain tooling.
Built on Apache Flink and oter components, the streaming runtime aims to democratize access to stream processing.
project: https://vmware-tanzu.github.io/streaming-runtimes/
Introducing Spring AI
This session explores Spring AI, a new framework enabling Java developers to integrate AI seamlessly into enterprise applications. Spring AI was born from the realization that the AI/ML stack was becoming accessible to Java developers at large and no longer constrained to the traditional AI/ML community rooted mainly in the Python ecosystem.
In this talk, the Spring AI project leads will introduce you to the main AI concepts you need to know and how to start writing AI applications quickly. Spring AI provides many components required in creating an AI software stack and brings Spring’s traditional design principles, such as portability and modular design, to promote POJOs as the building blocks of an AI application.
This session will introduce many Spring AI features, starting with a portable client API to interact with AI models. You will learn how to create effective AI prompts, including using user-defined functions, and converting AI responses into POJOs.
Use cases like “query over your docs” are demonstrated by showcasing Spring AI features such as creating Embeddings and storing them in a Vector Database. Also, Spring AI provides a lightweight ETL framework that takes your documents and stores them in the Vector Database. The popular RAG pattern and ways you can effectively evaluate how your AI application is performing are discussed.
From Single-Shot LLMs to Intelligent Agents: Building Scalable AI Systems with Spring AI and MCP
The integration of Large Language Models (LLMs) into applications has evolved beyond simple API calls. Today's challenge lies in creating sophisticated AI agents that can meaningfully interact with real-world systems.
This talk walks through the journey from basic LLM integration to building fully functional AI agents using Spring AI and the Model Context Protocol (MCP). You'll learn how to choose between predictable Workflows and flexible autonomous Agents, understanding the trade-offs each approach brings.
The Spring AI and MCP Java SDK project leads will demonstrate practical patterns for building Agentic systems that can seamlessly interact with web services, file systems, and business tools. Through live coding examples, you'll see how Spring Boot starters and MCP's standardized interfaces simplify the development of AI-enabled applications.
Attendees will learn:
Architectural patterns for building scalable AI agents
The benefits of MCP's capabilities and standardized interfaces
Best practices for balancing simplicity with sophisticated features
Practical approaches to model portability and structured output handling
Spring I/O 2025 Sessionize Event Upcoming
Voxxed Days Amsterdam
Building AI Agents with Model Context Protocol: From Specification to Implementation - https://dev.events/conferences/voxxed-days-amsterdam-81cw979g
From Zero to AI: Building Smart Java or Kotlin Applications with Spring AI - https://dev.events/conferences/voxxed-days-amsterdam-81cw979g
Talent Arena
From LLMs to Agents: Transforming Applications with Spring AI and Model Context Protocol (MCP)
https://talentarena.tech/conference-agenda/?e-filter-5cf5700-dia=n-march-4&e-filter-5cf5700-tematica=n-artificial-intelligence&e-filter-5cf5700-stage=futurist-stage&e-filter-5cf5700-idioma=n-english
Building Smart Agents with MCP and Spring AI - Workshop
https://talentarena.tech/workshops-agenda/?e-filter-5cf5700-stage=lab-2&e-filter-5cf5700-dia=n-march-4&e-filter-5cf5700-idioma=n-english&e-filter-5cf5700-tematica=n-artificial-intelligence
Big Data Conference Europe 2024
Spring AI: Integrating Generative AI in Java Enterprise
https://events.pinetool.ai/3254/#sessions/108507
Devoxx BE
Spring AI: Seamlessly Integrating AI into Your Enterprise Java Applications
https://devoxx.be/speaker/?id=18229
GOTO Amsterdam 2024
Spring AI Is All You Need
https://gotoams.nl/2024/sessions/3314/spring-ai-is-all-you-need
Spring I/O 2024 Sessionize Event
Flink Forward San Francisco 2022 Sessionize Event
Christian Tzolov
R&D Software Engineer in the Spring team at Broadcom
Amsterdam, The Netherlands
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top