Danial Alihosseini is a Machine Learning Engineer with a decade of experience building and applying AI systems, currently developing production ML at Torob in Tehran. He holds a strong academic foundation with a master’s in Artificial Intelligence from Sharif University and a top-scoring bachelor’s in Computer Software Engineering from Amirkabir University. Danial has blended research and teaching—serving as TA for multiple graduate and undergraduate courses in deep learning, machine learning, probability and operating systems—highlighting both technical depth and communication skills. His background suggests comfort spanning the full ML lifecycle from algorithmic development to deployment in product settings. Although his GitHub activity isn’t public here, his sustained academic honors and long tenure in the field imply a habit of rigorous, reproducible work and mentoring junior engineers. Based in Tehran, he brings a research-driven mindset to commercial machine learning challenges.
10 years of coding experience
Amirkabir University of Technology
Mathematics and Physics, Mathematics and Physics at Borhan
Master's degree, Artificial Intelligence, 18.8/20, Master's degree, Artificial Intelligence, 18.8/20 at Sharif University of Technology
A fast multithreaded C++ implementation of NLTK BLEU with Python wrapper.
Contributions:2 releases, 36 commits, 10 PRs in 2 years 11 months
cpppythonctypesbleupython-wrapper
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Danial Alihosseini - Machine Learning Engineer at Torob