Eugene Yan
Employers on the program
- 2026Anthropic1 talk
- 2023–2025Amazon Web Services4 talks
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
- AI Engineer (World's Fair, Summit and regional editions)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 29, 2026 | AI Engineer World's Fair 2026 | AI Engineer (World's Fair, Summit and regional editions) | expo session | Using LLMs to Secure Source Code as Anthropic | Video |
| Jun 3, 2025 | AI Engineer World's Fair 2025 | AI Engineer (World's Fair, Summit and regional editions) | speaker | Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs as Amazon Recommendation systems and search have long adopted advances in language modeling, from early adoption of Word2vec for embedding-based retrieval to the…Show lessRecommendation systems and search have long adopted advances in language modeling, from early adoption of Word2vec for embedding-based retrieval to the transformative impact of GRUs, Transformers, and BERT on predicting user interactions. Now, the rise of large language models (LLMs) is inspiring innovations in model architecture, scalable system designs, and richer customer experiences. | Video |
| Jun 25, 2024 | AI Engineer World's Fair 2024 | AI Engineer (World's Fair, Summit and regional editions) | keynote | Copilots Everywhere as Amazon Join GitHub CEO Thomas Dohmke for the closing keynote with a deep dive on Copilot Workspace, and what’s ahead as he talks on AI’s coming agentic wave. | Video |
| Jun 25, 2024 | AI Engineer World's Fair 2024 | AI Engineer (World's Fair, Summit and regional editions) | keynote | What We Learned From A Year of Building With LLMs as Amazon Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs. | Video |
| Oct 8, 2023 | AI Engineer Summit 2023 | AI Engineer (World's Fair, Summit and regional editions) | speaker | Building Blocks for LLM Systems & Products as Amazon “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s…Show less“There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.” - Karpathy This talk is about practical patterns for integrating large language models (LLMs) into systems and products. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Charles Frye | 4 | 1 | 2026 |
| Jason Liu | 4 | 1 | 2026 |
| Jerry Liu | 4 | — | 2026 |
| Simon Willison | 4 | — | 2026 |
| swyx | 4 | — | 2026 |
| Alex Volkov | 3 | — | 2026 |
| Barr Yaron | 3 | — | 2026 |
| Ben Hylak | 3 | — | 2026 |
| Daniel Han | 3 | — | 2026 |
| Dominik Kundel | 3 | — | 2026 |
| Eno Reyes | 3 | — | 2026 |
| Harald Kirschner | 3 | — | 2026 |
| Hassan El Mghari | 3 | — | 2026 |
| Ishan Anand | 3 | — | 2026 |
| Kevin Hou | 3 | — | 2026 |
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.