Jim Dowling
where else to find them
website:http://www.hopsworks.ai
github:jimdowling
bluesky:jimdowling.bsky.social
linkedin:jim-dowling-206a98
speakerdeck:jimdowling
what they talk about
all 12 in the filters
where they keep going back
- PyData Seattle2 editions2023–2025
- PyData London2 editions2022–2024
- Berlin Buzzwords2 editions2018–2019
all 14 in the filters
on a stage with
- Alexandru A. Ormenisanonce
- Fabio Busoonce
- Moritz Meisteronce
all 5 in the filters
who talks about the same things
- Lex Avstreikh4 talks
- Ramon Perez8 talks
- Anthony Shaw19 talks
- Dean Wampler29 talks
- Joshua Arvin Lat20 talks
- (unnamed presenter)4 talks
| title | conference | date |
|---|---|---|
| Real-TIme Context Engineering for Agents | PyData Seattle 2025 | 2025-11-07 |
Claims a fast alternative to RAG: use application IDs (user/session/article/order) to fetch targeted context within seconds rather than retrieve text chunks… | ||
| Backstage interview | PyData Paris 2025 | 2025-09-30 |
A European full‑stack AI platform called Hopsworks claims to provide a feature store and real‑time LLM serving that runs on Kubernetes, is deployable with helm… | ||
| Building Python based AI Systems with LLMs | PyData NYC 2024 | 2024-11-06 |
Claim: LLMs reliably translate text queries into runnable Python, using Hopsworks feature store and pandas to produce feature, training, and inference… | ||
| Function Calling for LLMs | PyData London 2024 | 2024-06-14 |
Claims that Retrieval Augmented Generation can query tabular warehouses and APIs by using function calling returns JSON to pick and invoke SQL-like functions… | ||
| High speed data from the Lakehouse to DataFrames with Apache Arrow | PyData Global 2023 | 2023-12-06 |
Claims use Apache Arrow end-to-end with Pandas2, Polars and DuckDB for zero-copy transfers and replace JDBC/ODBC with Arrow Flight (and ADBC) protocols. A… | ||
| Bridging Python and Lakehouse worlds with Arrow Flight and DuckDB. | Scale By the Bay 2023 | 2023-11-13 |
A new service replaces JDBC+Spark with Arrow Flight and DuckDB to stream Parquet/Hudi data as Arrow buffers directly into Pandas/Polars, avoiding column-to-row… | ||
| Build a production ML system with only Python on free serverless services | PyData Seattle 2023 | 2023-04-26 |
An end-to-end Python system predicts PM2.5 for Seattle by scraping live sensors and weather forecasts, writing features to Hopsworks, training an XGBoost model… | ||
| Build prod ML systems with feature /training /inference pipelines | Conf42 Python 2023 | 2023-03-09 |
Argues monolithic ML pipelines fail and shows a Python-first refactor into feature/training/inference (FTI) decomposition with concrete code… | ||
| Kick-off | Feature Store Summit 2022 | 2022-10-11 |
Hopsworks claims to be the first open-source, enterprise, and serverless feature store and cites Uber Michelangelo as the origin of the idea. The feature store… | ||
| Python-centric Feature Stores | PyData London 2022 | 2022-06-17 |
Claims a working Python-first feature store pipeline using Hopsworks with point-in-time joins, online/offline dual stores (RonDB + Apache Hudi), Kafka… | ||
| Time Travel and Provenance for Machine Learning Pipelines | OpML '20 | 2020-07-28 |
Claims that intrusive code hooks are replaced by standardized change‑data‑capture from the distributed file system, feature store, resource manager and apps… | ||
| A feature Store for Machine Learning | PyData Fest Amsterdam 2020 | 2020-06-15 |
Feature engineering is productized: Hopsworks.AI provides a versioned DataFrame API and Apache Spark jobs that materialize feature groups into a dual… | ||
| Hops in the Cloud | Berlin Buzzwords 2019 | 2019-06-16 |
HopsFS becomes a multi–data‑center, POSIX‑like filesystem with strong metadata consistency, storing small files in metadata on NVMe disks and pushing a… | ||
| Distributed Deep Learning | Jfokus 2019 | 2019-02-04 |
Argues that state‑of‑the‑art deep learning now needs GPU clusters and orchestration, cites ImageNet training dropping from weeks to 190 seconds with 1000 GPUs… | ||
| TensorFlow: Hotdog or Not with Toppings #bbuzz | Berlin Buzzwords 2018 | 2018-06-11 |
Workshop builds a Hotdog-or-Not pipeline that actually trains a CNN from JPEGs, converts them to TFRecords in HDFS for fast GPU feeding, and deploys the… | ||
| All AI Roads Lead to Distribution | dotAI 2018 | 2018-05-31 |
Claims that distribution both cuts training time and enables larger experiments with concrete numbers and tools: ImageNet is ~300 GB and 1M images, Google and… | ||
| Multi-tenant Flink-as-a-Service on YARN | Flink Forward Berlin 2016 | 2016-09-12 |
Flink runs on YARN inside HopsWorks as a UI-driven, open-source service deployed since June 2016 at www.hops.site, offered on a 54‑machine cluster (~10 TB RAM… | ||
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