Allen Wang
Appearances by year
- PyTorch Conference
- QCon
- Flink Forward
- Ray Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Apr 7, 2026 | PyTorch Conference Europe 2026 | PyTorch Conference | speaker | TorchStore: What We Learned Building Distributed Storage Solutions for AysncRL as Meta Asynchronous Reinforcement Learning (AsyncRL) workloads have unique data sharing requirements: actors must efficiently exchange large tensors across processes…Show lessAsynchronous Reinforcement Learning (AsyncRL) workloads have unique data sharing requirements: actors must efficiently exchange large tensors across processes and nodes, often with different sharding configurations—not just at checkpoint time, but continuously during training for live weight... | |
| Oct 22, 2025 | PyTorch Conference 2025 | PyTorch Conference | speaker | PyTorch-Native Stack for Agents as Meta Agents are the next frontier of AI development — systems that reason, act, and learn through interaction. In this talk, we’ll explore the challenges of building…Show lessAgents are the next frontier of AI development — systems that reason, act, and learn through interaction. In this talk, we’ll explore the challenges of building for agents and the new infrastructure they demand, starting with a practical introduction to reinforcement learning. We’ll then unveil the... | |
| Nov 6, 2023 | Flink Forward Seattle 2023 | Flink Forward | speaker | Building Scalable Data Lakehouse Integrations with Flink as DoorDash At DoorDash, Snowflake serves as the primary lakehouse, integrated with Apache Flink for realtime events processing. Flink's S3 sink ensures high consistency,…Show lessAt DoorDash, Snowflake serves as the primary lakehouse, integrated with Apache Flink for realtime events processing. Flink's S3 sink ensures high consistency, and Flink’s customizable bucket assigner allows flexible data partitioning on S3. | |
| Sep 18, 2023 | Ray Summit 2023 | Ray Summit | speaker | Developing Ray Applications on Google Cloud TPUs as Google | |
| Oct 24, 2022 | QCon San Francisco 2022 | QCon | speaker | Data Pipeline AMA w/ Sid Anand & Allen Wang as DoorDash AMAs are an informal gatherings for Q&A. Bring your questions for in-depth conversations with QCon speakers Sid Anand & Allen Wang. | |
| Oct 24, 2022 | QCon San Francisco 2022 | QCon | speaker | From Zero to A Hundred Billion: Building Scalable Real Time Event Processing At DoorDash as DoorDash At DoorDash, real time events are an important data source to gain insight into our business but building a system capable of handling billions of real time…Show lessAt DoorDash, real time events are an important data source to gain insight into our business but building a system capable of handling billions of real time events is challenging. | |
| Nov 11, 2019 | QCon San Francisco 2019 | QCon | speaker | Monitoring and Tracing @Netflix Streaming Data Infrastructure as Netflix | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Joe Spisak | 3 | — | 2026 |
| Lucas Pasqualin | 2 | 1 | 2026 |
| Alban Desmaison | 2 | — | 2026 |
| Angela Yi | 2 | — | 2026 |
| Bin Bao | 2 | — | 2026 |
| Burkhard Ringlein | 2 | — | 2026 |
| Daniel Flores | 2 | — | 2026 |
| Driss Guessous | 2 | — | 2026 |
| Edward Yang | 2 | — | 2026 |
| Elias Ellison | 2 | — | 2026 |
| George Gekov | 2 | — | 2026 |
| Jane Xu | 2 | — | 2026 |
| Jason Ansel | 2 | — | 2026 |
| Ke Wen | 2 | — | 2026 |
| Liz Li | 2 | — | 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.