Han Wang
Appearances by year
- PyCon (national Python conferences)
- PyData
- AI Engineer (World's Fair, Summit and regional editions)
- Ray Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 3, 2025 | AI Engineer World's Fair 2025 | AI Engineer (World's Fair, Summit and regional editions) | speaker | What We Learned from Using LLMs in Pinterest Search as Pinterest Pinterest Search integrates Large Language Models (LLMs) to enhance relevance scoring by combining search queries with rich multimodal content, including visual…Show lessPinterest Search integrates Large Language Models (LLMs) to enhance relevance scoring by combining search queries with rich multimodal content, including visual captions, link-based text, and user curation signals. A semi-supervised learning framework enables scaling to large and multilingual datasets, going beyond English and limited human labels. | Video |
| May 15, 2024 | PyCon US 2024 | PyCon (national Python conferences) | speaker | Speed is Not All You Need for Data Processing Pandas was the dominant local data processing framework for majority of the last decade. Now, there are many other options available like Polars and DuckDB. | Video |
| Apr 26, 2023 | PyData Seattle 2023 | PyData | speaker | How to incrementally scale existing workflows on Spark, Dask or Ray? as Lyft | Video |
| Nov 9, 2022 | PyData NYC 2022 | PyData | speaker | Testing Big Data Applications (Spark, Dask, and Ray) as Lyft Data practitioners use distributed computing frameworks such as Spark, Dask, and Ray to work with big data. One of the major pain points of these frameworks is…Show lessData practitioners use distributed computing frameworks such as Spark, Dask, and Ray to work with big data. One of the major pain points of these frameworks is testability. | Video |
| Aug 22, 2022 | Ray Summit 2022 | Ray Summit | speaker | Distributed training with Ray on Kubernetes as Lyft Inc. | |
| Apr 27, 2022 | PyCon US 2022 | PyCon (national Python conferences) | speaker | Comparing the Different Ways to Scale Python and Pandas Code as Lyft Fugue is an open-source unified interface for Pandas, Spark, and Dask that aims to let data practitioners define their compute workflows in a scale-agnostic…Show lessFugue is an open-source unified interface for Pandas, Spark, and Dask that aims to let data practitioners define their compute workflows in a scale-agnostic manner. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Kevin Kho | 4 | 2 | 2024 |
| Jules Damji | 3 | — | 2023 |
| Anindya Saha | 2 | 1 | 2023 |
| Greg Brockman | 2 | — | 2025 |
| Mason Egger | 2 | — | 2025 |
| Simon Willison | 2 | — | 2025 |
| Anthony Shaw | 2 | — | 2024 |
| Brandt Bucher | 2 | — | 2024 |
| Bruce Eckel | 2 | — | 2024 |
| Cheuk Ting Ho | 2 | — | 2024 |
| Henry Fredrick Schreiner III | 2 | — | 2024 |
| Koushik Krishnan | 2 | — | 2024 |
| Krishi Sharma | 2 | — | 2024 |
| Łukasz Langa | 2 | — | 2024 |
| Maria Jose Molina Contreras | 2 | — | 2024 |
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.