MLOps.community

MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53


Listen Later

Coffee Sessions #53 with David Aponte, Demetrios Brinkmann, and Vishnu Rachakonda, MLOps Insights.


//Abstract
MLOps Insights from MLOps community core organizers Demetrios Brinkmann, Vishnu Rachakonda, and David Aponte. In this conversation the guys do a deep dive on testing with respect to MLOps, talk about what they have learned recently around the ML field, and what new things are happening with the MLOps community.

//Bio

David Aponte
David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems and share his learnings with others. He works out of NYC and loves to hike and box for fun. He enjoys meeting new people so feel free to reach out to him!

Demetrios Brinkmann

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

Vishnu Rachakonda

Vishnu is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.

Other Links:

Continuous Delivery for Machine Learning article by Martin Fowler: https://martinfowler.com/articles/cd4ml.html
To Engineer Is Human book by Henry Petroski: https://www.amazon.com/Engineer-Human-Failure-Successful-Design/dp/0679734163

----------- Connect With Us ✌️-------------   

Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/

Timestamps:
[00:14] Tests and how to do tests in MLOps
[09:10] Learning from Vishnu and David's new job
[12:42] How will it change?
[19:48] Forcing to do the right thing vs allowing to do the wrong thing
[21:54] Dealing with Machine Learning Models and Data
[25:10] Feature store and monitoring compare page

...more
View all episodesView all episodes
Download on the App Store

MLOps.communityBy Demetrios

  • 4.9
  • 4.9
  • 4.9
  • 4.9
  • 4.9

4.9

20 ratings


More shows like MLOps.community

View all
Software Engineering Radio - the podcast for professional software developers by se-radio@computer.org

Software Engineering Radio - the podcast for professional software developers

272 Listeners

Data Skeptic by Kyle Polich

Data Skeptic

482 Listeners

Software Engineering Daily by Software Engineering Daily

Software Engineering Daily

624 Listeners

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

445 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

298 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

323 Listeners

Data Engineering Podcast by Tobias Macey

Data Engineering Podcast

142 Listeners

DataFramed by DataCamp

DataFramed

267 Listeners

Practical AI by Practical AI LLC

Practical AI

189 Listeners

The Stack Overflow Podcast by The Stack Overflow Podcast

The Stack Overflow Podcast

63 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

87 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

120 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

75 Listeners

AI + a16z by a16z

AI + a16z

31 Listeners

The Pragmatic Engineer by Gergely Orosz

The Pragmatic Engineer

52 Listeners