This discussion was really fun. We had an expansive discussion with Ariel about his background as a research scientist, how he got into making memes about MLOps and what his perspective on the MLOps landscape really is. We highly recommend watching this on YouTube so you can see the memes that Ariel made and know what Demetrios and Vishnu were giggling at. A couple of things stood out in this chat. First, the radically simple nature of communicating through memes on MLOps was something both Demetrios and Vishnu really appreciated. It's very easy to get caught up in all the jargon in our industry, but memes, visuals, and humor make it much simple to understand how people actually feel about different topics and how they think. We talked about how Ariel stumbled into this form of communication and how it fits into his work as an evangelist now. Next, Ariel made an amazing point: "we are in the Stone Age for MLOps." This is a recurring theme in our chats that Ariel summarized succinctly. No one has had enough experience with all the possible ML systems to say that one way is exactly right. In particular, the tools we use still have a long way to go, just like stone preceded bronze. Ariel gave us great insight into how these tools can evolve and get even better. Thanks to Ariel for spending time with us and giving us lots of laughs!
In this episode
Researcher first, developer second, in the last 5 years Ariel worked on various projects from the realms of quantum chemistry, massively-parallel supercomputing and deep-learning computer-vision. With AllegroAi, he helped build an open-source R&D platform (Allegro Trains), and later went on to lead a data-first transition for a revolutionary nanochemistry startup (StoreDot). Answering his calling to spread the word on state-of-the-art research best practices, He recently took up the mantle of Evangelist at ClearML. Ariel received his PhD in Chemistry in 2014 from the Weizmann Institute of Science. With a broad experience in computational research, he made the transition to the bustling startup scene of Tel-Aviv, and to cutting-edge Deep Learning research.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Vishnu Rachakonda 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.