Omid Naeej Nejad

I am a final-year Computer Science student at the University of Tehran, where I have spent four years building a foundation in AI engineering that spans computer vision, natural language processing, generative models, and reinforcement learning. My academic path has been shaped by a conviction that the most interesting problems sit at the intersection of perception and reasoning — where systems must not just recognize the world but act intelligently within it.

Beyond coursework, I have contributed to applied research in two university labs — co-authoring a survey on object-centric Vision Transformer architectures for semantic scene understanding, and engineering RAG-based chatbot systems and AI-for-finance pipelines at the Applied AI Lab. In industry, I have shipped BI dashboards and data pipelines at a commercial organization, and in June 2026 I led my team to 1st Place at Hackathon Pol, a national AI competition focused on FMCG demand forecasting.

I care deeply about the craft of building AI systems that are both technically rigorous and genuinely useful — models trained thoughtfully, systems architected for production, and research communicated clearly. Outside the lab, I teach: I have served as Chief Teaching Assistant for three courses and TA for six more, and have co-taught AI extracurricular courses at secondary schools as a volunteer.