Vishnu, David, and Demetrios recorded an epic panel around the hottest topic of the times; Feature Stores! Tho Who We had an all-star cast composed of Daniel Galinkin, Matias Dominguez and Simarpal Khaira all chiming in on what and how they feel about this whole feature store paradigm and why it's worth it to have a deeper look. The Why The whole reason for this conversation came from a conversation Matias and Demetrios were having around the idea of if he and his company even needed a feature store. At what point does the architecture that you have in place need to evolve, and what are the pros and cons of that evolution. The Where We will let you all decide if we had too many people on the call or you like the panel discussion format! Let us know if we should do more like this!
In this episode
ML Platform Tech Lead, iFood
Daniel is one of the co-founders of Hekima, one of the first companies in Brazil to work with big data and data science, with over 10 years of experience in the field. At Hekima, Daniel was amongst the people responsible for dealing with infrastructure and scalability challenges. After iFood acquihired Hekima, he became the ML Platform Tech Lead for iFood.
Tech Lead, Rappi
29 year old living in Buenos Aires, past 4.5 years working on fraud prevention. Previously @ MercadoLibre and other random smaller consulting shops.
Senior Product Manager, Intuit
Simarpal is the product manager driving product strategy for Feature Management and Machine Learning tools at Intuit. Prior to Intuit, he was at Ayasdi, a machine learning startup, leading product efforts for machine learning solutions in the financial services space. Before that he worked at Adobe as a product manager for Audience Manager, a data management platform for digital marketing
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.
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!
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.