Vinoth Arumugam
Principal Machine Learning Engineer - Qodea
London, United Kingdom
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Vinoth Arumugam is a Principal Machine Learning Engineer and Product Owner with over a decade of experience in AI, Machine Learning, and Data Science. He specializes in Generative AI, Large Language Models (LLMs), Computer Vision, NLP, and Agentic AI, including multi-agent systems. Vinoth has led the end-to-end delivery of enterprise AI solutions across finance, legal, and industrial domains, with a strong focus on MLOps, model governance, Explainable AI (XAI), and Responsible AI. He holds a Master’s degree in Artificial Intelligence from Queen Mary University of London and is a certified Scrum Master. As a data evangelist and strategic leader, he bridges deep technical expertise with real-world business impact.
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AgentOps in Action: Observability, Performance, and Lifecycle of AI Agents
Running AI agents in production brings new operational challenges. This session introduces AgentOps — the emerging discipline of managing and monitoring autonomous AI systems.
You’ll learn how to track performance, log reasoning chains, enforce policy, and scale safely on GCP. We’ll cover integrations with Gemini, ADK, and tools for telemetry, versioning, and rollback — everything needed to make AI systems production-grade.
Securing Generative AI with Google Cloud Model Armor
Large Language Models unlock powerful new capabilities, but they also introduce risks: prompt injection, data leakage, unsafe outputs, and compliance challenges. In this session, we’ll explore Google Cloud’s Model Armor, a new service that proactively screens LLM prompts and responses to ensure safety, privacy, and compliance. I’ll share real-world use cases, architecture patterns, and best practices for integrating Model Armor into enterprise AI systems—whether on GCP, multi-cloud, or hybrid environments. Attendees will leave with practical strategies to safeguard their AI applications and build trustworthy, scalable solutions.
Exploring Foundation Models with Model Garden and Vertex AI Studio
This session introduces you to Model Garden on Vertex AI Google Cloud’s centralized platform for exploring and experimenting with state-of-the-art machine learning models from Google and its partners. You’ll discover how to search, evaluate, and interact with powerful foundation models for tasks involving text, vision, code, and more.
DevFest London 2025 Sessionize Event
I/O Extended 2025 - GDG London Sessionize Event
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