Hi there! I'm Amir Mohammad 👋🏻
First of all, Laugh at Life and welcome to my website :)
I’m Amir Mohammad Fakhimi, born in the beautiful city of Kashan, and currently 22 years old.
My academic journey started at Shahid Beheshti (Ehsan) High School, where I pursued my passion for Mathematics and Physics.
In 2020, I began my undergraduate studies in Computer Engineering at the prestigious Sharif University of Technology (the best university in Iran, according to QS ranking 2025). During this time, I've deepened my knowledge of programming, learning languages such as C, Java, Swift, and Python, while working with front-end and back-end frameworks like FastAPI, React.js, and Next.js.
My interest in Artificial Intelligence (AI) grew during my university years, with a special focus on Deep Learning, particularly Natural Language Processing (NLP) and Computer Vision.
I had the opportunity to complete two internships, which greatly enriched my practical experience:
- At Rahnema College, I sharpened my programming skills, focusing on front-end development.
- Later, I joined Sokhan AI, where I worked on Automated Speech Recognition (ASR).
These experiences helped me gain valuable insights into the real-world challenges of Software Engineering and AI in the industry.
On the research side, I’ve also contributed to AI-driven projects.
- We are conducting a survey on Compositional Problems of Stable Diffusion Models, which solve compositional challenges in Stable Diffusion models, such as object relationships, positional consistency, and scale issues. This survey provides a comprehensive overview of advancements aimed at improving the generation of well-composed images by Diffusion Models.
- In addition, We are developing an AI-Driven Referee Recommendation System for Scientia Iranica Journal. This project aims to enhance the peer review by automatically matching articles with suitable referees using NLP and other AI methods.
These projects allowed me to explore advanced topics in NLP and Computer Vision, broadening my knowledge and experience in these research areas.
Looking forward, I am excited to further develop my expertise in Deep Learning and continue exploring innovative solutions in AI.
And remember-there's always a reason to smile! 😊
