Multilingual Programming and a Project Structure to Enable It

Rodo has been working in the "Data Space" for almost 7 years. He was a Senior Data Scientist at Entel (a Chilean telecommunications company) and is now a Senior Machine Learning Engineer at the same company, where I also lead three mini teams dedicated to internal cybersecurity; design/promote continuous training for the entire Analytics team and also the whole company; and ensure the improvement of programming practices and code cleanliness standards.

Rodo is currently in charge of helping the team put models into production and define the tools that we will use for it. He specializes in R, but he's language/tool agnostic: you should use the tool that best solves your current problem.

Rodo studied Mathematical Engineering and MSc in Applied Mathematics at the University of Chile in addition to General Engineering at the École Centrale Marseille.

Rodo really likes to share knowledge (bi-directionally) in whatever he thinks he can contribute. Some things that Rodo like teaching are Data Science, Math, Latin Dances, and whatever he thinks he can give to people.

Rodo's other interests are computer games (especially Vermintide and Darktide), board games, and dancing to Latin rhythms. Also, he streams some games and Data Science related topics on Twitch.

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.

Abi is a machine learning engineer and an independent consultant with over 7 years of experience in the industry using ML research and adapting it to solve real-world engineering challenges for businesses for a wide range of companies ranging from e-commerce, insurance, education and media & entertainment where she is responsible for machine learning infrastructure design and model development, integration and deployment at scale for data analysis, computer vision, audio-speech synthesis as well as natural language processing. She is also currently writing and working in autonomous agents and evaluation frameworks for large language models as a researcher at Bolkay.

Prior to consulting, Abi was a visiting research scholar at UCLA working at the Cognitive Sciences Lab with Dr. Judea Pearl on developing intelligent agents and has authored research papers in AutoML and Reinforcement Learning (later accepted for poster presentation at AAAI 2020) and invited reviewer, area-chair and co-chair on multiple conferences including AABI 2023, PyData NYC ‘22, ACL ‘21, NeurIPS ‘18, PyData LA ‘18.