Talks

40+ technical presentations delivered at major industry conferences, Google events, and community meetups worldwide. These talks focus on production machine learning systems, MLOps best practices, and emerging trends in generative AI deployment.

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Upcoming Talks

• July 18: AI in Production (Asheville, NC) - Agents in Production

Past Talks

2025

• February 19: Google Developer Group Seattle (remote) - Creating your own private Gemma API with Google Vertex

• April 28: Startup Grind Conference (Redwood, CA) - Startup Grind Conference 2025

  2024

• November 7: Google North America Connect Conference (Sunnyvale, CA) - Creating your own private LLM endpoints

• July 7: AI in Production (Asheville, NC) - Deploying Large Language Models with Ease

• April 16: Lecture at the University of Washington (Seattle, WA) - GenAI in Finance

• April 10: Google Next’24 (Las Vegas, NV) - Introduction to Digits’ ML using Vertex & NVIDIA Technology

• February 15: AI in Production Conference (remote) - Machine Learning Beyond GenAI - Quo Vadis

2023

• December 13: MLOps Meetup Belgium (remote) - True ML Talks #16 - Machine Learning Pipeline @ Digits

• December 5: Digital CPA Conference 2023 (Las Vegas, NV) - AI Adoption Roadmap: Top Considerations

• October 25: MLOps World (Austin, TX) - Fine-tuning LLMs or Model APIs

• October 12: Generative AI in Production (remote) - Panel Discussion

• May 26th: Google NA Connect (Miami, FL) - The role of ML Engineers in the time of GPT-4 and PaLM 2

• May 18: Google Developer Expert Chat with Margaret Maynard-Reid (remote)

• April 13: LLM in Production Conference (remote) - LLM in Production Conference

• March 9: MLOps Community (remote) - LLM in Production Round Table

2022

• December 5: MLOps Meetup Belgium (remote) - Introduction to Similarity-based Machine Learning

• November 16: GDSC Chapter at Iowa State University (remote) - Talk about Production Machine Learning

• November 4: Google North America Connect Conference (Sunnyvale, CA) - Introduction to Similarity-based Machine Learning

• November 3: Pacific Region DevFest 2022 (Mountain View, CA) - Introduction to Similarity based Machine Learning

• November 1: Google Cloud Customer Q&A (remote) - Vertex AI Use Cases at Digits

• September 8: MLOps Community (remote) - Scaling Similarity Learning at Digits

• August 9: Google Cloud Tech Podcast (remote) - Using machine learning to transform finance with Google Cloud and Digits

• April 20: ODSC East Conference (Boston, MA) - Keep Your Friends Close, and Keep Your Vectors Closer – Using Similarity-based Machine Learning for FinTech Applications at Digits (Boston, MA, USA)

2021

• August 6: Apache Beam Summit 2021 (remote) - Scalable Predictions of Deep Learning models with Apache Beam

• July 13: Toronto Machine Learning Summit in Finance (remote) - Bringing structure into an unstructured world: Apply State of the Art Machine Learning at Digits

• June 10: Google’s Applied ML Summit 2021 (remote) - Rapid Iteration with Limited DevOps Resources

• June 1: Data Talk Club (remote) - Questions about TFX/MLOps

• April 21: Columbus Data Science Conference (remote) - Machine Learning at Digits

• April 15: Google’s ML Practitioner Summit (remote) - Digits Financial at the ML Practitioner Summit

• March 1: Delivery, Interrupted Podcast (remote) - MLOps Part 2 - Continuous Delivery

• February 27: Google’s TensorFlow Everywhere Conference (remote) - TensorFlow at Digits

• February 16: ML6 Conference (remote) - MLOps + Metadata

2020

• November 14: PyData Global Conference (remote) - Responsible ML in Production

• November 14: PyData Global Conference (remote) - QA Panel on Algorithmic Accountability

• November 13: Scale By The Bay 2020 (remote) - Automate the boring ML stuff with pipelines

• November 11: Google MLOps Working Group (remote) - How to write custom components for your TFX pipelines example code

• October 30: ODSC West (remote) - Build an ML pipeline for BERT models with TensorFlow Extended – An end-to-end Tutorial

• October 22: Google ML Summit 2020 (remote) - ML Pipelines and Metadata

• October 22: Google ML Summit 2020 (remote) - Panel Discussion about the State of ML

• September 30: TensorFlow User Group London (remote) - Managing ML Pipelines with TensorFlow Extended

• September 29: Weights & Biases Salon (remote) - Managing ML Pipelines in TensorFlow Extended with Hannes Hapke

• September 22: SAP Predictive Summit (remote) - Answer Questions with BERT

• August 27: Apache Beam Summit (remote) - Creating Custom TFX Components with Apache Beam

• August 24: Apache Beam Summit (remote) - MLOps with TensorFlow Extended and Apache Beam

• July 25: Google DevFest West Coast (remote) - ML Engineering with TensorFlow Extended

• May 13: Google’s TensorFlow Meets (remote)

2019

• November 9: DevFest (Berlin, Germany) - Ease ML deployments with TensorFlow Serving

• October 30: TensorFlow World Conference (Santa Clara, CA) - Advanced model deployments with TensorFlow Serving

• October 19: ML Unconference (Portland, OR) - Deploying ML Models

• October 19: ML Unconference (Portland, OR) - Introduction to Natural Language Processing

• September 18: Google ML Summit (Seattle, WA) - Ease ML deployments with TensorFlow Serving

• August 28: Google ML Summit (Cambridge, MA) - Ease ML deployments with TensorFlow Serving

• June 18: Portland Serverless Architecture Meetup (Portland, OR) - Google Cloud Functions, Machine Learning, & the Model Server

• May 30: Google AI Huddle (Seattle, WA) - Empower Google Cloud Functions with Machine Learning

• April 30: ML4All Conference (Portland, OR) - MLOps for non-DevOps folks, a.k.a. “I have a model, now what?!

• March 28: Machine Learning Meetup (Portland, OR) - TensorFlow Dev Summit Recap

2018

• July 17: OSCON Tensorow Day 2018 (Portland, OR) - Got a trained deep learning model? Now what? Deploying deep learning models Slides