Behrad Bagheri is a Instagram Trust & Safety | Entrepreneur | Machine Learning and Federated ML Researcher at Instagram. They possess expertise in matlab, programming, microsoft office, software development, mechanical engineering and 40 more skills. They is proficient in English. Colleagues describe them as "Behrad helped to create an award winning ML capability that enabled our business partner to identify suspicious financial activities months earlier than previous methods. Really appreciated the teamwork and expertise that made this possible!", "I have been working closely with Behrad for almost a year at Amobee as his manager. He was one of the best co-workers and employees I ever had the pleasure to work with. Behrad is a solid machine learning researcher / engineer. He learned new concepts/engineer skills fast, and can apply his knowledge into our field projects smoothly. In our planned bidding project he wrote the whole data pipeline using different programming languages he was not familiar with at the beginning. To solve the problems, he implemented a customer optimizer which can provide efficient computation both offline and online. Behrad is a very good listener. He collaborated well with people from different teams. He is the POC for the PAAS (Plan as a Service) project, one of the largest projects in our company. It was an honor for me to manage and work with Behrad, and I highly recommend him without any reservation.", and "I had the pleasure of working with Behrad when he developed an early failure detection method for multimedia filters. While working under limited supervision, Behrad sought out creative solutions to solve our problem. He exuded excellent analytical and programming skills in R, Matlab and SQL. On one occasion, we realized that conventional data driven algorithms were not able to accurately predict a failed filter. After weeks of struggling to resolve the problem, he was able to develop a customized solution called hybrid clustering method. In addition to filters, this method could be adapted to finding anomalies in other industrial systems with a large number of parallel assets. Thanks to working with Behrad, I was also able to improve my own scripting skills through his instruction. If you are looking for support of navigating through large datasets, I would highly recommend Behrad. His self-starter persona will serve organizations seeking to derive meaningful information from data."