Sterling Chin
Senior Developer Advocate at Postman
San Francisco, California, United States
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Sterling Chin is a driving force behind numerous Postman initiatives from inception to launch, including the GA releases of gRPC, GraphQL, Postman Flows, and most recently Postbot, Postman’s AI Assistant. As a long time proponent of AI/ML, he has been instrumental in the adoption, development, and integration of AI at Postman. As the newest member of the Developer Advocacy group at Postman, he’s excited to share his decades of experience.
In his off time, he can be found camping, hiking, paddle boarding, or generally just exploring the world and the universe through his telescopes. He’s a massive space nerd. Star Trek > Star Wars.
Social Links
LinkedIn: https://www.linkedin.com/in/sterlingchin/
Twitter: https://x.com/SilverJaw82
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Area of Expertise
Topics
AI/ML Ops: Bridging the Gap Between Innovation and Implementation
An insightful exploration of AI/ML Operations through the lens of real-world implementation. Drawing from his experience leading the development of Postbot at Postman, Sterling shares practical strategies for successfully deploying and maintaining AI systems in production environments.
This talk covers essential aspects of AI/ML Ops including:
- The Rapid Iteration Cycle: Learn how to implement a development methodology that emphasizes quick releases, user feedback, and continuous improvement
- Practical Implementation Strategies: Discover how to start small, remain AI-agnostic, and leverage existing tools creatively, even with limited resources
- Evaluation-Driven Development: Understand the critical balance between automated testing and human oversight in ensuring AI system reliability
- Scaling Considerations: Explore the evolution of infrastructure, team structure, and processes as AI products grow from MVP to enterprise-scale solutions
- Future Trends: Get insights into emerging developments in AI/ML Ops, including increased automation, explainable AI, and edge computing
Whether you're part of a startup or an established enterprise, you'll walk away with actionable insights for implementing and scaling AI/ML Operations effectively. This talk bridges the gap between cutting-edge AI innovation and practical, real-world implementation, offering valuable lessons from the frontlines of AI product development.
Building Agentic Workflows: A Practical Guide
A 60 minute session where Sterling discusses Agentic AI, workflow use cases, and shows practical ways of building Agentic workflows with live code demonstrations.
The Composable API Ecosystem: Building Blocks for Rapid Innovation
APIs shouldn't be one-and-done projects—they should be versatile building blocks that power innovation across your entire organization! In this session, we'll dive into the transformative practice of creating a composable API ecosystem where each component is designed for maximum reusability. You'll see how platform teams are radically reducing time-to-market by creating APIs that work like LEGO pieces—easily assembled, reconfigured, and extended. We'll explore how industry leaders build APIs that developers actually want to use, plus practical techniques for documentation, sandboxing, and versioning that drive adoption. Get ready to revolutionize your API strategy and unlock new possibilities!
Composable API Ecosystems and MCP: Unlocking AI-Native
The API landscape is evolving—from powering human-built apps to becoming the interface for intelligent agents. In this talk, we’ll explore how to design a composable API ecosystem that supports both traditional development and the next generation of AI use cases. You’ll learn how platform teams are treating APIs like reusable LEGO blocks to reduce time-to-market and improve developer velocity. We’ll also introduce the Model Context Protocol (MCP)—a new standard emerging to help AI agents discover, understand, and compose APIs autonomously. Discover how MCP complements your API strategy with machine-readable context, enabling APIs that are as usable for LLMs as they are for humans. Whether you’re building for internal teams or external developers, this session will show you how to prepare your APIs for the age of intelligent automation.
Building Agentic Workflows: A Practical Guide to Agents and MCP
Agentic thinking is changing how we build software—from linear scripts to dynamic, decision-making workflows. In this lightning talk, we’ll explore how to design, build, and ship real AI agents using Postman Flows and Model Context Protocol (MCP). You’ll see how APIs become tools in an agent’s toolbox, and how Flows can orchestrate autonomous, API-driven behavior. We’ll walk through practical patterns, show working examples, and share lessons from building agentic systems that actually ship.
Sterling Chin
Senior Developer Advocate at Postman
San Francisco, California, United States
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