Summary
Soroush Javdan is a Ph.D. candidate in Computer Science at Carleton University and a researcher-engineer at Ericsson Canada with 10 years of experience applying ML and NLP to real-world telecom and software engineering problems. He specializes in information retrieval, efficient model adaptation, and practical neural ranking systems that help engineers surface the right information at scale while reducing compute and lead time. At Ericsson he advanced criterion-aware trouble report retrieval and anomaly detection for large-scale microservice applications, including online learning workflows for continual model updates. His prior research in personalized dialogue generation and work on aspect-based sentiment, offensive language, and code-mixed sentiment analysis reflect a strong grounding in applied NLP. Soroush blends academic rigor with production-focused engineering, exploring non-conventional fine-tuning for in-domain LLMs to meet operational constraints. Based in Ottawa, he combines a research mindset with hands-on system-building to deliver measurable improvements in engineering workflows.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Kharazmi University
High School, High School at Alameh tabatabai HighScool
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carleton University
Master's degree, Artificial Intelligence, GPA: 3.77, Master's degree, Artificial Intelligence, GPA: 3.77 at Iran University of Science and Technology
English