Summary
Ehsan Doostmohammadi is an AI Engineer based in Stockholm with eight years of hands-on experience building NLP systems for conversational agents, content analysis, and safety applications. He combines deep research expertise from a PhD at Linköping—where he trained large multilingual and multimodal models and supervised industry theses—with practical production experience deploying NLU/NLG pipelines and medical assistants. His technical strengths include text classification, sequence labeling, keyphrase generation, instruction tuning, RLHF, RAGs, and end-to-end model deployment. At Sharif ICT Innovation Center and Nazarbin he led data collection, annotation protocols, and microservice architectures for real-world products like medical QA and toxic-comment detection. Now at Scania, he brings research-grade modeling and evaluation rigor to industrial AI challenges, bridging large-scale training on terabytes of data with robust inference systems. Unusually for an engineer, he also holds a BA in Philosophy, which informs a thoughtful approach to language, ethics, and user-centered design.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA, Philosophy, Bachelor of Arts - BA, Philosophy at Shahid Beheshti University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Linköping University
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at Sharif University of Technology
Persian, English, Swedish