Dmitry Petrov
where else to find them
what they talk about
all 6 in the filters
where they keep going back
no series more than once — all 6 in the filters
on a stage with
- Ruslan Kuprieievonce
who talks about the same things
- Dean Pleban5 talks
- Mikhail Rozhkov5 talks
- Alejandro Saucedo33 talks
- Ramon Perez8 talks
- Antoni Ivanov6 talks
- Antoine Toubhans3 talks
| title | conference | date |
|---|---|---|
| When Agents Meet Physical Data: The Other Physics of Agent Harnesses | AI Engineer World's Fair 2026 | 2026-06-29 |
Claim: recompute is the enemy for video and sensor data — materialize once, recall cheaply. Demonstrations use Claude Code over raw S3 with a YOLO pass that… | ||
| From SQL to Python: Building Data Context for Agents and people | PyData London 2026 | 2026-06-05 |
Claims that adding concrete multi-layer context (storage, metadata, dataset, code) moves agents from brittle demos to reliable results, citing 95% accuracy… | ||
| Versioning Multimodal Data: Metadata & Beyond | PyData Virginia 2025 | 2025-04-18 |
The DVC team argues that multimodal needs a metadata-first versioning approach because files are heavy (megabytes to gigabytes) and datasets scale to thousands… | ||
| Machine Learning Models Versioning Using Open Source Tools | PyData Los Angeles 2019 | 2019-12-03 |
Shows a concrete workflow for tracking models and artifacts using open source pieces: git lfs for small model files, CI pipelines that capture reproducible… | ||
| Open Source Tools for ML Experiments Management | Open Source Summit + Embedded Linux Conference North America 2019 | 2019-08-21 |
Open Source Tools for ML Experiments Management - Dmitry Petrov & Ruslan Kuprieiev, Iterative AI
The rise of new AI and ML requires new workflows and new… | ||
| Data versioning in machine learning projects | PyData Berlin 2018 | 2018-07-06 |
Open-source DVC claims to make experiments reproducible by pairing code with the exact data version and pipeline commands rather than just restating the topic… | ||
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