Find talks, blogs, and podcasts here!
Slides from my talks
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General Meetup Slides
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General Meetup Slides
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Build a document processing pipeline for RAG Systems
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General Meetup Slides
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General Meet up slides
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Feature Engineering with Hamilton
- Slides
- Recording will be posted when available.
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General meet up slides
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Why you should build your GenAI/LLM apps using Hamilton
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Bridging Classic ML Pipelines with the World of LLMs
- Slides Note: this was jointly presented with Elijah ben Izzy.
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Hamilton:Natively bringing SWE best practices to python data transformations
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Talk: LLMOps: Match report from the top of the 5th
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Talk: Getting Higher ROI on MLOps Initiatives: Five Lessons Learned While Building out The MLOps Platform for 100+ Data Scientists
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Hamilton: Natively bringing software engineering best practices to python data transformations
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dbt + Hamilton: Enabling you to maintain complex Python within dbt models
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Hamilton: ditch procedural scripts in favor of declarative functions
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Hamilton: an OS tool to add to your LLM App toolbelt
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Feature Engineering with Hamilton: Portability & Lineage
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British Cycling Data Platform in Python
Co-presented with Peter Robinson, and Murray Tait.
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Lightweight Lineage with Hamilton
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Hamilton: Natively bringing software engineering best practices to python data transformations
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Hamilton: an open source, declarative, micro-framework for clean & robust feature transform code in Python
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Hamilton: enabling software engineering best practices for data transformations via generalized dataflow graphs
Angle: Software engineering is important to think about when managing a data ecosystem.
- Slides
- Will publish paper once proceedings are up
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Hamilton: a modular open source declarative paradigm for high level modeling of dataflows
Angle: Interesting UX that enables a platform team to compose & modularize not only a dataflow, but subsystems.
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Hamilton: A Python Micro-Framework for tidy scalable Pandas
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Scalable feature engineering with Hamilton on Ray
MLOPsWorld Bay Area July 2022
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Hamilton: A Python Micro-Framework for Data / Feature Engineering
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Hamilton: a python micro-framework for data / feature engineering at Stitch Fix
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[Open Source] Hamilton, a micro framework for creating dataframes, and its application at Stitch Fix
- Slides
- From this conference.
- Watch it here - https://www.youtube.com/watch?v=CHfrT5OVjlM
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“Deployment for free”: removing the need to write model deployment code at Stitch Fix
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Hamilton an open source micro framework for creating dataframes
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"Deployment for free": removing the need to write model deployment code at Stitch Fix
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Enabling Data Scientists to easily create and own Kafka Consumers
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Why you should be using structured logs
- AMA with Stefan Krawczyk @ Evidently AI
- True ML Talks #2 - ML Workflow @ Stitch Fix
- What I learned building platforms at Stitch Fix
- Configuration Driven ML Pipelines at Stitch Fix
- Deployment for Free -- A Machine Learning Platform for Stitch Fix's Data Scientists
- Hamilton backstory and intro post on TDS
- Hamilton + Pandas in five minutes
- Iterating with Hamilton in a Notebook
- Tidy production pandas with Hamilton
- True ML Talks #2 - ML Workflow @ Stitch Fix
- S01 E08 - MLOps Week 8: The MLOps Mindset with Stefan Krawczyk August 2022.
- MLOps dla 100 data scientistów (in Polish) April 2022.
- Aggressively Helpful Platform teams August 2021