Satvik Kumar
Product Leader & OSS Mentor
Santa Clara, California, United States
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Satvik Kumar is a Product Manager at Pure Storage specializing in cyber resilience, data protection, and AI-driven product innovation. He leads strategy for enterprise resilience and replication solutions, works across ecosystem partnerships including Veeam, Commvault, and Rubrik, and regularly presents these topics to executive and technical audiences in global customer briefings. Earlier, he led global airline operations product initiatives at Sabre and co-founded PESU IO, an edtech platform that has served 25,000+ students. Satvik is also an IEEE-published researcher, a Carnegie Mellon University graduate, and a regular distinguished judge for hackathons.
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Agent Reliability by Design: Building Enterprise AI with LLM4S
Reliable agent libraries need repeatability, safe tool boundaries, operational visibility, and maintainable abstractions. This session uses Szork, a voice-controlled, AI-powered adventure game built with LLM4S, as a demo that turns a playful agent experience into a practical architecture discussion.
Through playing with Szork in a live walkthrough, we will show how LLM4S uses provider integration, typed tool calling, conversation state, error handling, observability, secure execution boundaries, and adds extensibility with MCPs. The demo stays compact while grounding the architecture in a real application: a game loop where the model interprets natural language, invokes capabilities, maintains context, and responds through a user-facing experience.
The core of the talk is the design rationale behind LLM4S: why Scala and the JVM matter for agent systems, how type-safe APIs reduce integration risk, how functional design improves testability and composability, and how open infrastructure choices support enterprise adoption. Attendees leave with practical lessons for building reliable agent applications using LLM4S.
Agent Passports: Typed Context Handoffs for Multi-Agent Systems with LLM4S
Agents often fail at boundaries: when context moves from one agent to another, from a prompt to a tool, or from local code to an MCP-backed capability. This session introduces the idea of an “agent passport”: a typed, traceable handoff envelope that carries intent, permissions, memory scope, guardrail status, and trace identity across agent workflows.
Using LLM4S, we will walk through a compact maintainer-assistant workflow: an open source issue is classified, routed to a documentation, code, or safety specialist, checked through guardrails, connected to an MCP capability, and recorded as an inspectable trace. The focus is a production pattern for making agent delegation auditable, portable, and safer to operate.
Attendees will learn how Scala’s type system, functional state, typed tools, provider abstraction, MCP integration, and observability support enterprise-grade agent systems where humans can understand why a handoff happened and what evidence shaped the final output.
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