Mehdi Ghanimifard is a computational linguist and machine learning engineer with 13 years’ experience building and researching language technologies, from grounded spatial-language models in his PhD to production contract-processing systems. He blends experimental research and engineering, having fine-tuned and benchmarked large language models for summarization and long-context tasks at Silo AI and Point72 while optimizing training on data-center GPUs with AMD hardware. Comfortable across academia and industry, he has taught NLP courses and contributed to OCR and image-processing projects, reflecting a pragmatic hands-on approach to multimodal systems. He is particularly focused on the engineering and algorithmic challenges of scaled model training—arguing that breakthroughs require deeper attention to data, model scale, and training infrastructure beyond next-token prediction.
13 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy (Ph.D.) Linguistics, Doctor of Philosophy (Ph.D.) Linguistics at University of Gothenburg
Contributions:29 commits, 21 pushes, 1 branch in 9 months
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Mehdi Ghanimifard - Member Of Technical Staff at AMD Silo AI