Hien Luu
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- QCon
- AI Con USA
- MLOps World (Machine Learning in Production)
- Ray Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 16, 2025 | QCon AI New York 2025 | QCon | speaker | Infusing AI into the DNA of Engineering OrganizationsEvery engineering leader today is under pressure to “do something with AI.” The challenge is figuring out how to infuse AI into the day-to-day work of teams…Show lessEvery engineering leader today is under pressure to “do something with AI.” The challenge is figuring out how to infuse AI into the day-to-day work of teams without falling into hype or overwhelming them with complexity. | |
| Jun 8, 2025 | AI Con USA 2025 | AI Con USA | speaker | Mastering Prompt Engineering: Unlocking the Power of Prompt Patterns and Meta-Prompting Technique as Zoox | |
| Nov 18, 2024 | QCon San Francisco 2024 | QCon | keynote | Prompt Engineering: Is it a New Programming Language? | |
| Jun 2, 2024 | AI Con USA 2024 | AI Con USA | keynote | AI/ML Adoption Strategies for Enterprises as DoorDash | |
| Oct 25, 2023 | 4th Annual MLOps World Conference & Expo 2023 | MLOps World (Machine Learning in Production) | speaker | LLMOps: An Emerging Stack to Productionalize LLM Applications as DoorDash | |
| Sep 18, 2023 | Ray Summit 2023 | Ray Summit | keynote | Untitled as DoorDash | |
| Jun 13, 2023 | QCon New York 2023 | QCon | panelist | Panel: Navigating the Future: LLM in Production as DoorDash Our panel is a conversation that aim to explore the practical and operational challenges of implementing LLMs in production. Each of our panelists will share…Show lessOur panel is a conversation that aim to explore the practical and operational challenges of implementing LLMs in production. Each of our panelists will share their experiences and insights within their respective organizations. | |
| Mar 27, 2023 | QCon London 2023 | QCon | speaker | Strategy & Principles to Scale and Evolve MLOps @DoorDashMLOps has become a major enabler to successfully operationalize ML applications and for ML practitioners to realize the power of ML to bring impact to…Show lessMLOps has become a major enabler to successfully operationalize ML applications and for ML practitioners to realize the power of ML to bring impact to business. The journey to implementing MLOps will be unique to each company. | |
| Mar 2, 2020 | QCon London 2020 | QCon | speaker | Speeding Up ML Development with MLFlow as LinkedIn focused on Big Data | |
| Jun 24, 2019 | QCon New York 2019 | QCon | panelist | Panel: ML for Developers/SWEs as LinkedIn |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Viren Baraiya | 3 | — | 2025 |
| Suhail Patel | 3 | — | 2023 |
| Adi Polak | 2 | — | 2025 |
| Dionny Santiago | 2 | — | 2025 |
| Dona Sarkar | 2 | — | 2025 |
| Gwen Shapira | 2 | — | 2025 |
| Ian Thomas | 2 | — | 2025 |
| Jason Arbon | 2 | — | 2025 |
| Jeffery Payne | 2 | — | 2025 |
| Joshua Powers | 2 | — | 2025 |
| Matt Eland | 2 | — | 2025 |
| Matt Payne | 2 | — | 2025 |
| Meryem Arik | 2 | — | 2025 |
| Scott Peterson | 2 | — | 2025 |
| Tariq King | 2 | — | 2025 |
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.