Arash Radmoghadam is Director of Engineering and Applied Machine Learning at Fluent.ai, where he leads Fluent’s machine learning engineering and delivery team. Arash began his career with Fluent in 2017 as part of the research team assisting the company to develop its unique end-to-end spoken language understanding technology. He has a Master of Computer Engineering from Polytechnique Montréal.
Sahil received his Master’s in Electrical and Computer Engineering in 2016 from Cornell University where his research focused on the development of low power MEMS sensors. He then moved to Montreal to bring together his passion for audio and technology to help start what eventually became Soundskrit. He now serves as the Product Lead at Soundskrit, helping with the development and marketing of a novel MEMS directional microphone designed to improve audio capture in consumer devices.