Summary
Felix Mcgregor is a Speech Data Scientist with eight years of experience applying deep learning and statistical methods to real-world audio problems. Based in the Western Cape, he holds a Cum Laude MEng and is completing a master's in Machine Learning at Stellenbosch University, building on a solid electrical and electronics engineering foundation. Since 2020 he has been developing speech and data-driven solutions at Saigen, translating research ideas into production-ready models. Felix combines rigorous academic training with practical engineering discipline, focusing on robust model development and evaluation for speech systems. He is curious about novel architectures and interpretable statistics, often bridging theory and deployment in resource-constrained settings.
8 years of coding experience
Master's degree, Machine Learning, Master's degree, Machine Learning at Stellenbosch University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Stellenbosch University/Universiteit Stellenbosch