AI Engineer who does medical AI for the most part of the day. Scale is the name of the game for me, I spent a lot of time engineering infrastructures with AWS and GCP to not only put these data-hungry models into production but also ensure they are regularly trained and updated with more data automatically. While it might seem that AI Engineering might mostly always be about reading papers and trying out different hyperparameters and algorithms, I spent most of my time developing data pipelines and creating web apps for visualising data performance and even doing a lot of DevOps to put all these things together.While Medical AI is my main line of work, I am a generalist. At the Ben-Gurion University of the Negev, I am involved with research in deep fake audio detection. For my work at Zoho, I had to go deep into the math and work with neuro symbolic ai to integrate domain knowledge into deep learning models. As part of Google Summer of Code, I worked with Mifos Initiative as a mentor, helping students develop and deploy secure credit risk assessment systems using federated learning.I also do a lot of product management, previously I was a product manager at Spoon. Now I do project management for multiple medical ai projects of TexNano and volunteer for amFOSS.