Tommy Li
where else to find them
linkedin:tommyzli
what they talk about
all 9 in the filters
where they keep going back
- Open Source Summit Latin America2 editions2022–2022
- KubeCon + CloudNativeCon North America2 editions2017–2022
all 8 in the filters
on a stage with
all 5 in the filters
who talks about the same things
- Animesh Singh23 talks
- Christian Kadner8 talks
- Yihong Wang4 talks
- Yuan Tang23 talks
- Alejandro Saucedo33 talks
- Johnu George11 talks
| title | conference | date |
|---|---|---|
| Reliable OpenTelemetry at Scale: No Queue, No Problem | SREcon26 Americas | 2026-03-24 |
Claims a production OpenTelemetry pipeline that avoids central queues, handling ~15 GB/s peak and trillions of events per day by keeping a fast direct path… | ||
| Democratization of ML Pipelines and Bringing ML Workflows to Heterogeneous... | AI.dev: Open Source GenAI & ML Summit North America 2023 | 2023-12-12 |
Kubeflow Pipelines v2 introduces an Intermediate Representation (IR) that is platform‑agnostic and already used by Kubeflow Pipelines, Google Vertex AI and… | ||
| Training AI To Code Using the Largest Code Dataset | KubeCon + CloudNativeCon North America 2022 | 2022-10-24 |
Project CodeNet is a 14 million–sample, 500 million–line dataset across 55 languages (CDLA v2) used with the Machine Learning Exchange to preprocess, subset… | ||
| Bringing ML Workflows to Heterogeneous Cloud Native Machine Learning Pla... | Open Source Summit Europe 2022: Open AI + Data Forum | 2022-09-13 |
KFP v2 IR provides a platform-neutral pipeline spec that lets Kubeflow Pipelines and Google Vertex AI share the same component-based representation; an… | ||
| Training AI To Code Using The Largest Code Dataset (Project CodeNet) | Open Source Summit Europe 2022: Open AI + Data Forum | 2022-09-13 |
Project CodeNet is a 14 million–sample, 500 million–line corpus across 55 languages that the team uses with Project CodeNet subsets, DataShim and the Machine… | ||
| MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes | Open Source Summit Latin America 2022: Open AI + Data Forum | 2022-08-23 |
Open source tools run automated adversarial and fairness checks during training and at runtime using Adversarial Robustness Toolbox and AI Fairness 360, with… | ||
| Training AI To Code Using The Largest Code Dataset (Project CodeNet) | Open Source Summit Latin America 2022: Open AI + Data Forum | 2022-08-23 |
Project CodeNet provides 14 million submissions across 4,000 problems and 55 languages (over 500 million lines of code) with per-submission CPU/memory and… | ||
| MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes | Open Source Summit Latin America 2022 | 2022-08-23 |
Demonstrates a concrete ML security stack: Adversarial Robustness Toolbox (Python) plus AIF360/XAI toolkits integrated into Kubeflow + KServe for online… | ||
| Training AI To Code Using The Largest Code Dataset (Project CodeNet) | Open Source Summit Latin America 2022 | 2022-08-23 |
Project CodeNet is a curated dataset of 14 million submissions solving 4,000 programming problems across 55 languages with over half a billion lines of code… | ||
| AI Pipelines Workflows and ML lineage using Tekton Pipelines | Open Source Summit + Embedded Linux Conference + OSPOCon 2021 | 2021-09-27 |
KubeFlow Pipelines gets ported to run on Tekton instead of Argo, providing a Python DSL plus KubeFlow Pipelines on Tekton execution. Metadata and lineage use… | ||
| Infusing Trusted AI using Machine Learning Payload Logging on Kubernetes | Open Source Summit + Embedded Linux Conference + OSPOCon 2021 | 2021-09-27 |
KFServing on Kubernetes logs every request and response as CloudEvents to an event broker (Kafka) and a connector syncs those events into MySQL; AIF360 runs… | ||
| Embrace DevOps Practices to ML Pipeline Development | Kubernetes AI Day Europe 2021 | 2021-05-04 |
Built a compiler from KFP SDK to Tekton that runs pipelines on Tekton while injecting artifact annotations + post‑processing to push artifacts into KFP’s MLMD… | ||
| Deploy and Use a Multiframework Distributed Deep Learning Platform on... | PyData Los Angeles 2018 | 2018-10-17 |
Fabric for Deep Learning (FfDL) is a Kubernetes microservice platform that runs training in containerized learners, stores data and models in object storage… | ||
| Enable your Microservices with Advanced Resiliency and Fault Tolerance Leveraging Istio | KubeCon + CloudNativeCon North America 2017 | 2017-12-06 |
Claims that Istio extracts resiliency from apps into the platform and uses Envoy sidecars, Pilot and Mixer to enforce routing, rate limits and circuit… | ||
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