Summary
Fahim Mohammad is a Machine Learning Engineering Technical Leader based in Portland with 11+ years building and shipping AI and generative models for enterprise customers. He has deep hands-on experience fine-tuning large foundation models (including Llama3.1 70B), multi-modal GenAI pipelines, distributed training, and benchmarking AI workloads on Intel hardware. At Intel he led high-impact projects from a 21% accuracy boost in sepsis prediction to 4x performance gains in ASR and delivered vertical healthcare and financial reference apps. He combines academic rigor (PhD in Computer Science) with product-focused delivery—bridging prototyping, production MLOps, and performance engineering across cloud and edge. Known for practical optimizations like model compression and large-scale serving, he also contributes to open reference repos used in benchmarking and RAG/video summarization work. Colleagues rely on him to translate complex research into scalable, responsible AI solutions for regulated domains.
8 years of coding experience
17 years of employment as a software developer
B. Tech. Computer Engineering and Computer Science, B. Tech. Computer Engineering and Computer Science at Aligarh Muslim University
Doctor of Philosophy (Ph.D.) Computer Science and Engineering, Doctor of Philosophy (Ph.D.) Computer Science and Engineering at University of Louisville
Master of Technology (M.Tech.) Computer Science and Information Technology, Master of Technology (M.Tech.) Computer Science and Information Technology at Guru Gobind Singh Indraprastha University
English, Hindi, Urdu, Maithili, oriya (beginner), Sanskrit