May 2022 Speakers and Agenda

Skip to agenda Subscribe to Calendar

Chip Huyen

Co-Founder & CEO

Claypot AI

Daniele Perito

Co-Founder & Chief Data Officer

Faire

Smitha Shyam

Director of Engineering

Uber

Dr. Waleed Kadous

Head of Engineering

Anyscale

Sarah Cantazaro

General Partner

Amplify Partners

Leonard Aukea

Head of Machine Learning Engineering & Operations

Volvo Cars

Meenal Chhabra

Machine Learning Engineering Manager

CashApp

Sarah Wooders

PhD Student

UC Berkeley – RISELab

Dan Sullivan

Principal Data Architect

4 Mile Analytics

Thijs Brits

ML Engineer

Adyen

Joost Van Ingen

Data Engineer

Dexter Energy

Mike Del Balso

Co-Founder & CEO

Tecton

Demetrios Brinkmann

Founder

MLOps Community

Willem Pienaar

Feast Committer and Tech Lead

Tecton

Ketan Umare

Co-Founder & CEO

Union.ai

Manoj Agarwal

Architect Fellow

Walmart Global Tech

Kyle Kirwan

CEO & Co-founder

Bigeye

João Santiago

Data Science Team Lead

billie.io

Cary Goltermann

Machine Learning Engineer

Primer.ai

Phillip North

Machine Learning Engineer

Primer.ai

Felix Brann

Head of Data Science

Vital

Chris Albon

Director of Machine Learning

Wikimedia Foundation

Matei Zaharia

Co-Founder and Chief Technologist

Databricks

Arjun Narayan

CEO / Co-Founder, Materialize

Materialize

Mark Freeman

Founder

On The Mark Data

Maria Cipollone

User Researcher

Spotify

Travis Addiar

Co-Founder & CTO

Predibase

Emmanuel Ameisen

Staff Machine Learning Engineer

Stripe

Drew Banin

Co-Founder & CPO

DBT Labs

Yuchen Wu

VP Engineering

Instacart

Donny Greenberg

Product Management Lead, PyTorch

Danny Chiao

Engineering Lead

Tecton

Shreyas Krishnaswamy

Software Engineer

Anyscale

Austin Mackillop

Machine Learning Engineer

CashApp

Ravi Suhag

VP of Engineering

Gojek

Lina Weichbrodt

Machine Learning Lead Engineer

DKB AG

Jacopo Tagliabue

Director of AI

Coveo

Martin Casado

Partner & Software Engineer

a16z

Praveen Kumar Kanumala

Principal Software Engineer

Walmart Global Tech

Aymeric Damien

Machine Learning Engineer

Snap Inc.

Clem Delangue

Co-Founder and CEO

Hugging Face

David Hershey

Senior Solutions Architect

Tecton

Amber Roberts

Machine Learning Engineer

Arize AI

Tal Shaked

ML Architect

Snowflake

Justin Young

Developer

Abnormal Security

Kevin Stumpf

Co-Founder and CTO

Tecton

Piero Molino

Co-Founder & CEO

Predibase

Kate Kuznecova

Data Scientist

OLX Group

Aparna Dhinakaran

Co-Founder & Chief Product Officer

Arize AI

Phi Nguyen

GTM Technical Lead

Anyscale

Lior Gavish

CTO and Co-Founder

Monte Carlo

Alice Jacques

Head of Data Science and Machine Learning

Depop

Agenda

May 18

All times are PT

30-min Talks

Workshops

Lightning Talks

8:30 am

Welcome

Demetrios Brinkmann, Founder, MLOps Community

8:35 am

Managing the Flywheel of ML Data

Mike Del Balso, Co-Founder & CEO, Tecton

9:00 am

Lakehouse: A New Class of Platforms for Data and AI Workloads

Matei Zaharia, Co-Founder and Chief Technologist, Databricks

9:35 am

Machine Learning Platform for Online Prediction and Continual Learning

Chip Huyen, Co-Founder & CEO, Claypot AI

10:15 am

Break

10:25 am

Lightning Talks Round 1

10:25

Why is Machine Learning Hard?

Tal Shaked, ML Architect, Snowflake

10:41

DIY Feature Store: A Minimalist’s Guide

João Santiago, Data Science Team Lead, billie.io

10:52

Enabling rapid model deployment in the healthcare setting

Felix Brann, Head of Data Science, Vital

11:04

Extending Open Source Feature Stores to Fit Adyen

Joost van Ingen, Data Engineer , Dexter Energy

Thijs Brits, ML Engineer, Adyen

11:16

Compass: Composable and Scalable Signals Engineering

Justin Young, Developer, Abnormal Security

11:28

Streaming is just an implementation detail

Arjun Narayan, CEO / Co-Founder, Materialize, Materialize

11:40

Effective ML System Development

Leonard Aukea, Head of Machine Learning Engineering & Operations, Volvo Cars

11:50 am

Break

12:00 pm

How to Draw an Owl and Build Effective ML Stacks

Sarah Cantazaro, General Partner, Amplify Partners

12:35 pm

Panel: What Do Engineers Not Get About Working with Data Scientists?

Kevin Stumpf, Co-Founder and CTO, Tecton

Maria Cipollone, User Researcher, Spotify

Mark Freeman, Founder, On The Mark Data

Kate Kuznecova, Data Scientist , OLX Group

Alice Jacques, Head of Data Science and Machine Learning, Depop

1:10 pm

Is Production RL at a tipping point?

Dr. Waleed Kadous, Head of Engineering, Anyscale

1:40 pm

Break

1:50 pm

Lightning Talks Round 2

1:50

Declarative Machine Learning Systems: Ludwig & Predibase

Travis Addiar, Co-Founder & CTO, Predibase

Piero Molino, Co-Founder & CEO, Predibase

2:02

Accelerating Model Deployment Velocity

Emmanuel Ameisen, Staff Machine Learning Engineer, Stripe

2:14

The dbt Semantic Layer

Drew Banin, Co-Founder & CPO, DBT Labs

2:26

Engineering for Applied ML

Yuchen Wu, VP Engineering, Instacart

2:38

PyTorch’s Next Generation of Data Tooling

Donny Greenberg, Product Management Lead, PyTorch, Meta

2:50 pm

Closing

Demetrios Brinkmann, Founder, MLOps Community

3:00 pm

Workshop 1: Building Real-Time ML Features with Feast, Spark, Redis, and Kafka

Danny Chiao, Engineering Lead, Tecton

3:00 pm

Workshop 2: Bring Your Models to Production with Ray Serve

Shreyas Krishnaswamy, Software Engineer, Anyscale

Phi Nguyen, GTM Technical Lead, Anyscale

5:30PM Local Time

apply() in San Francisco

Kaiyo Rooftop, 701 3rd St
5:30 PM to 8:30 PM PT

+ Add to Calendar

apply() in New York

Bar Hugo, 525 Greenwich St
6:00 PM to 9:00 PM ET

+ Add to Calendar

May 19

All times are PT

30-min Talks

Workshops

Lightning Talks

8:30 am

Welcome

Demetrios Brinkmann, Founder, MLOps Community

8:35 am

Empowering Small Businesses with the Power of Tech, Data, and Machine Learning

Daniele Perito, Co-Founder & Chief Data Officer, Faire

9:10 am

Weaver: CashApp’s Real Time ML Ranking System

Meenal Chhabra, Machine Learning Engineering Manager, CashApp

Austin Mackillop, Machine Learning Engineer, CashApp

9:45 am

Feature Engineering at Scale with Dagger and Feast

Ravi Suhag, VP of Engineering, Gojek

10:15 am

Break

10:25 am

Lightning Talks Round 3

10:25

Data Observability for Machine Learning Teams

Kyle Kirwan, CEO & Co-founder, Bigeye

10:37

Machine Learning, Meet SQL: When ML Comes to the Database

Dan Sullivan, Principal Data Architect, 4 Mile Analytics

10:49

Machine Learning in Production: What I learned from monitoring 30+ models

Lina Weichbrodt, Machine Learning Lead Engineer, DKB AG

11:01

Lessons learned from the Feast community

Willem Pienaar, Feast Committer and Tech Lead, Tecton

11:13

Wild Wild Tests: Monitoring Recommender Systems in the Wild

Jacopo Tagliabue, Director of AI, Coveo

Federico Bianchi, Postdoctoral Researcher , Bocconi University

11:25 am

Break

11:35 am

Fireside Chat: Is ML a Subset or a Superset of Programming?

Mike Del Balso, Co-Founder & CEO, Tecton

Martin Casado, Partner & Software Engineer, a16z

12:10 pm

Panel: Common Patterns of the World’s Most Successful ML Teams

Mike Del Balso, Co-Founder & CEO, Tecton

Alex Ratner, Co-Founder & CEO, Snorkel AI

Aparna Dhinakaran, Co-Founder & Chief Product Officer, Arize AI

Ketan Umare, Co-Founder & CEO, Union.ai

Lior Gavish, CTO and Co-Founder, Monte Carlo

12:45 pm

Intelligent Customer Preference engine with real-time ML systems

Manoj Agarwal, Architect Fellow, Walmart Global Tech

Praveen Kumar Kanumala, Principal Software Engineer, Walmart Global Tech

1:15 pm

Break

1:25 pm

Lightning Talks Round 4

1:25

Training Large-Scale Recommendation Models with TPUs

Aymeric Damien, Machine Learning Engineer, Snap Inc.

1:37

Are Transformers Becoming the Most Impactful Technology of the Decade?

Clem Delangue, Co-Founder and CEO, Hugging Face

1:49

Streamlining NLP Model Creation and Inference

Phillip North, Machine Learning Engineer, Primer.ai

Cary Goltermann, Machine Learning Engineer, Primer.ai

2:01

ralf: Real-time, Accuracy Aware Feature Store Maintenance

Sarah Wooders , PhD Student, UC Berkeley – RISELab

2:13

More ethical machine learning using model cards at Wikimedia

Chris Albon, Director of Machine Learning, Wikimedia Foundation

2:25 pm

Closing

3:00 pm

Workshop 3 (Demo): Operationalizing ML Features on Snowflake with Tecton

David Hershey, Senior Solutions Architect, Tecton

3:00 pm

Workshop 4: The Key Pillars of ML Observability and How to Apply Them to Your ML Systems

Amber Roberts, Machine Learning Engineer, Arize AI