Summary
Amir Mohammad Fakhimi is a computer engineering student at Sharif University of Technology with five years of practical experience in AI research and software engineering, focused on NLP and computer vision. He has contributed to real-world projects including an AI-driven referee recommendation system for an academic journal and a research survey addressing compositional failures in Stable Diffusion models. Amir has interned in ASR, where his fine-tuning work reduced WER by 10% and led to a bug fix contribution to Hugging Face Transformers, and he has front-end and full-stack exposure from a Rahnema College boot camp. Currently researching numeracy and abductive reasoning in LLMs across academic labs and industry-affiliated institutes, he bridges principled evaluation with applied model improvements. Known for diving into both code and papers, he combines strong academic results with hands-on delivery and a habit of following problems through to reproducible pipelines.
5 years of coding experience
High School Diploma, Mathematics & Physics, 19.49 / 20, High School Diploma, Mathematics & Physics, 19.49 / 20 at Shahid Beheshti High School, Kashan
Undergraduated Bachelor's degree, Computer Engineering, 18.84 / 20, Undergraduated Bachelor's degree, Computer Engineering, 18.84 / 20 at Sharif University of Technology
Persian, English