Philipp Schmid
Employers on the program
- 2025–2026Google10 talks
- 2022–2024Hugging Face3 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)
- AWS re:Invent
- MLOps World (Machine Learning in Production)
- PyTorch Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 10, 2026 | AI Engineer Code Summit 2026 | AI Engineer (World's Fair, Summit and regional editions) | speaker | I deleted 90% of my harness (And It Got Better) as Google DeepMind Alt Title: Why Models Are Superhuman with Bash (Where Humans Fail) --- I spent my day to day building a agents with custom tools for everything. Every few month…Show lessAlt Title: Why Models Are Superhuman with Bash (Where Humans Fail) --- I spent my day to day building a agents with custom tools for everything. Every few month I decide to delete everything and see what is not needed anymore. I stripped out every dedicated tool until only Bash remained. I cut the prompt to 300 tokens and made the execution loop asynchronous. Benchmark scores jumped. | |
| Nov 10, 2026 | AI Engineer Code Summit 2026 | AI Engineer (World's Fair, Summit and regional editions) | workshop | Philipp Schmid, Thor Schaeff & Ivan Leo, Members of Technical Staff, Google DeepMind (Part 1) as Google DeepMind | |
| Nov 10, 2026 | AI Engineer Code Summit 2026 | AI Engineer (World's Fair, Summit and regional editions) | workshop | Philipp Schmid, Thor Schaeff & Ivan Leo, Members of Technical Staff, Google DeepMind (Part 2) as Google DeepMind | |
| Oct 12, 2026 | AI Engineer New York 2026 | AI Engineer (World's Fair, Summit and regional editions) | speaker | Coding an Autonomous Wall Street Coworker: Custom Skills, Connectors, and Event Hooks as Google DeepMind We build an always-on quantitative AI coworker using Gemini and Managed Agents as our infrastructure. From authoring custom skills that parse institutional…Show lessWe build an always-on quantitative AI coworker using Gemini and Managed Agents as our infrastructure. From authoring custom skills that parse institutional stock holdings and earnings deflections, to configuring event stream connectors and background triggers that wake the agent the second new financial documents drop. | Video |
| Jun 29, 2026 | AI Engineer World's Fair 2026 | AI Engineer (World's Fair, Summit and regional editions) | speaker | Agents Without Code: How Skills, YAML, and Filesystems Replaced Python as Google DeepMind | |
| Jun 29, 2026 | AI Engineer World's Fair 2026 | AI Engineer (World's Fair, Summit and regional editions) | expo session | Don't Ship Skills Without Evals as Google DeepMind | Video |
| Jun 29, 2026 | AI Engineer World's Fair 2026 | AI Engineer (World's Fair, Summit and regional editions) | speaker | Why Agents Should Have Their Own Sandbox as Google DeepMind | Video |
| Apr 8, 2026 | AI Engineer Europe 2026 | AI Engineer (World's Fair, Summit and regional editions) | workshop | Building Conversational Agents as Google DeepMind | Video |
| Apr 8, 2026 | AI Engineer Europe 2026 | AI Engineer (World's Fair, Summit and regional editions) | lightning talk | Why (Senior) Engineers Struggle to Build AI Agents as Google DeepMind | Video |
| Jun 3, 2025 | AI Engineer World's Fair 2025 | AI Engineer (World's Fair, Summit and regional editions) | workshop | AI Engineering with the Google Gemini 2.5 Model Family as Google DeepMind Hands on Workshop on learning to use Gemini 2.5 Pro in combination with Agentic tooling and MCP Servers. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | chalk talk | Beyond text: Unlock multi-modal AI with AWS AI chips [REPEAT] as Hugging Face Revolutionize your applications with multi-modal AI. Learn how to harness the power of AWS AI chips to create intelligent systems that understand and process…Show lessRevolutionize your applications with multi-modal AI. Learn how to harness the power of AWS AI chips to create intelligent systems that understand and process text, images, and video. | |
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | speaker | Getting Started with Pytorch 2.0 and Hugging Face Transformers as Hugging Face The session will highlight the new features of PyTorch 2.0 and how to get started with PyTorch 2.0 and Hugging Face Transformers today. It will cover how to…Show lessThe session will highlight the new features of PyTorch 2.0 and how to get started with PyTorch 2.0 and Hugging Face Transformers today. It will cover how to fine-tune a BERT model for Text Classification using the newest PyTorch 2.0 features. | |
| Jun 9, 2022 | 3rd Annual MLOps World 2022 | MLOps World (Machine Learning in Production) | workshop | Accelerating Transformers with Hugging Face Optimum and Infinity as Hugging Face |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Thor 雷神 Schaeff | 4 | 3 | 2026 |
| Laurie Voss | 4 | — | 2026 |
| Nick Nisi | 4 | — | 2026 |
| Stephen Chin | 4 | — | 2026 |
| Zack Proser | 4 | — | 2026 |
| Alex Cheema | 3 | — | 2026 |
| Ben Hylak | 3 | — | 2026 |
| Brandon Waselnuk | 3 | — | 2026 |
| Denys Linkov | 3 | — | 2026 |
| Dominik Kundel | 3 | — | 2026 |
| George Cameron | 3 | — | 2026 |
| Hassan El Mghari | 3 | — | 2026 |
| Jan Curn | 3 | — | 2026 |
| Jason Liu | 3 | — | 2026 |
| Jerry Liu | 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.