As we work on our sprints, it’s often hard to see which moves can create the biggest impact.
At Mixtiles, we’re dealing with millions of images of our users. Our developer spotted the opportunity and suggested we use a Face Detection algorithm to generate a “Smart Crop” feature that automatically detects the best way to crop the images our users provide.
The result shocked even our most optimistic analysts. (#4 will shock you)
In this talk we’ll dive deep into the way we detected this opportunity, what we tried to solve and the mistakes we made along the way until we came up with our current solution of combining React with Tensorflow for frontend machine-learning face detection.
I hope that after the talk you too will feel inspired to think outside the box and come up with solutions that create extreme impact within your team.
Ever since I learned to code by hacking online flash games at 16, I've been enthusiastic about code and the ability to create anything from an idea. After serving as a Software Developer at Unit 81, I joined a company called Guester and served as VP R&D for 3 years. During my time in the company, we won the Nightlife Entrepreneurs of the Year award. During my studies of Computer Science at IDC, I took part in the Zell Entrepreneurship Program, a program aimed toward top students with the goal of forming teams and creating Startups. Today, I work as a Software Engineer in Mixtiles. Besides my work as a Full-stack Developer, I love creating video games.