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Humza Sami is an experienced AI Architect currently at PrimisAI, specializing in Verilog assistant LLM training and MLOps. Previously, Humza worked as a Machine Learning Engineer at Rapid Silicon, focusing on quantized deep learning models for FPGAs and NLP-based text-code generation. Additional experience includes roles at Afiniti, where work involved real-time echo cancellation using recurrent neural networks, and proceedit as an iLab Unit Manager and Deep Learning Intern. As a Graduate Research Fellow at Information Technology University, Humza contributed to deep learning applications in medical diagnostics, including breast cancer detection. Humza holds a Master's and Bachelor's degree in Electrical and Computer Science and has participated in a Machine Learning Summer School at the University of Oxford.