Summary
Nabeel Raza is a Machine Learning Engineer and AI team lead with nine years of experience building and shipping production ML systems across speech, NLP, and computer vision. He has led teams from prototype to product—most notably growing an AI job-matching product to 15k+ users—and architected multilingual speech recognition and IVR solutions for global clients. Equally comfortable in research and engineering, he has published work on K-Sparse Extreme Learning Machines and capsule networks while driving applied projects at startups and YC-backed Powerhouse AI. Currently focused on fusing audio pipelines with large language model architectures to advance speech-language models, he combines hands-on model development, MLOps, and end-to-end system design. Based in Lahore, he holds advanced training in data science and applied machine learning and is drawn to collaborations that push the boundaries between audio and LLMs.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BSc), Electrical Engineering, Bachelor of Science (BSc), Electrical Engineering at University of Engineering and Technology, Lahore
Matric, Matric at Suffa Secondary School Muridke
Master's degree, Data Science, Master's degree, Data Science at Information Technology University
Master's degree, Applied Machine Learning, Master's degree, Applied Machine Learning at University of Maryland
Government College University, Lahore