Brian Hemmat is a Audio Machine Learning Engineer at MathWorks. He possess expertise in highly organized, gui, speech recognition, boston, neuron and 71 more skills. Colleagues describe him as "It's been more than a pleasure working with Brian on Audio Toolbox. Albeit very aware of company processes and constraints, he's always been on the look for creative approaches to making his work even better than reasonably expected. In an atypical fashion for a technical writer, he supported a wide range of product projects above and beyond his core job responsibilities. Thanks to a solid academic background in audio and speech signal processing coupled with humility and productiveness, he managed to deliver some great customer-visible product features, gaining support and respect from many senior product stakeholders.", "Brian is an extremely versatile member of our team: He is both an excellent technical writer and a great algorithm developer. Brian has built the documentation of Audio Toolbox from scratch. He created reference pages and tutorials for a wide range of topics, from real-time audio, to audio plugin authoring and hosting, to machine and deep learning for speech and audio. Brian puts the time and the effort to master the underlying algorithms, and produces flowcharts, figures and other artifacts that makes them very intuitive and easy to follow. He consistently comes up with compelling and clear MATLAB doc examples to showcase the new product features. Brian is also a key algorithm contributor. He has delivered multiple new features and functionality to the product, such as mfcc, pitch and harmonicity, spectral descriptors, and more. Brian excels in the entire development cycle: Initial research and literature review, requirement gathering, prototyping, and automated testing. Brian is a great team player, and can always be counted on to carefully go through other team members’ work and provide valuable feedback on multiple aspects of the functionality (API, workflow, algorithm…). His feedback helps in ensuring we come up with user-friendly, intuitive interfaces. We are very lucky that Brian is a member of the team. He adds to the quality and value of the product in so many ways.", and "I really enjoyed working with Brian on the Sensor Fusion and Tracking Toolbox. He approached the documentation task with a serious effort to understand and use all the functionality in the product, rather than simply document it. Brian worked to learn all aspects of the project– from quaternions to sensor simulators and filters. He built several invaluable demos for the beta release. Most of all, Brian’s writing is excellent, and he provides valuable feedback on all help text and demos in the product. He’s been a great asset to the project. He’s also easy-going, flexible and a lot of fun to work with."