Ville Tuulos
Employers on the program
- 2022–2025Outerbounds5 talks
Appearances by year
- Data Council
- MLOps World (Machine Learning in Production)
- AI By the Bay
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 8, 2025 | 6th Annual MLOps World | GenAI Summit 2025 | MLOps World (Machine Learning in Production) | speakers_corner | Agentic Metaflow in Action as Outerbounds We will show a live demo of the new agentic features of Metaflow! | |
| Oct 8, 2025 | 6th Annual MLOps World | GenAI Summit 2025 | MLOps World (Machine Learning in Production) | speaker | Metaflow: The Baseplate for Agentic Systems as Outerbounds Agent frameworks like LangChain or OpenAI’s Agent SDK make it easy to prototype agents, but they must be deployed in a production-grade environment that…Show lessAgent frameworks like LangChain or OpenAI’s Agent SDK make it easy to prototype agents, but they must be deployed in a production-grade environment that provides resilience, memory, and a runtime environment, with robust access to services and tools via MCP. The newly released open-source Metaflow 2.18 delivers such a baseplate for agentic systems, building on the battle-tested and versatile infrastructure Metaflow has refined over years. | |
| Mar 26, 2024 | Data Council Austin 2024 | Data Council | talk | Beyond MLOps: Building AI systems with Metaflow ML & MLOps as Outerbounds | |
| Oct 25, 2023 | 4th Annual MLOps World Conference & Expo 2023 | MLOps World (Machine Learning in Production) | workshop (virtual) | LLMs in Practice: A Guide to Recent Techniques and Trends as Outerbounds | |
| Mar 23, 2022 | Data Council Austin 2022 | Data Council | talk | The Modern Stack for ML Infrastructure ML & MLOps as Outerbounds | |
| Dec 2, 2019 | AWS re:Invent 2019 | AWS re:Invent | breakout | More data science with less engineering: ML infrastructure at NetflixNetflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists. Our data scientists are…Show lessNetflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists. Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering. | SlidesVideo |
| Nov 13, 2019 | Scale By the Bay 2019 | AI By the Bay | speaker | Human-Centric ML Infrastructure at Netflix | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Niels Bantilan | 3 | — | 2025 |
| Vishakha Gupta-Cledat | 3 | — | 2025 |
| Danny Chiao | 2 | — | 2025 |
| Dmitry Petrov | 2 | — | 2025 |
| Dr. Greg Loughnane | 2 | — | 2025 |
| Kumaran Ponnambalam | 2 | — | 2025 |
| Rajiv Shah | 2 | — | 2025 |
| Benn Stancil | 2 | — | 2024 |
| Caitlin Colgrove | 2 | — | 2024 |
| Chad Sanderson | 2 | — | 2024 |
| Chang She | 2 | — | 2024 |
| Julien Le Dem | 2 | — | 2024 |
| Diego Oppenheimer | 2 | — | 2022 |
| Paul Singman | 2 | — | 2022 |
| Steven Hillion | 2 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.