Professional Overview
I am Sepehr Kazemi, a recent graduate from Sharif University of Technology with a Bachelor's degree in Electrical Engineering. My research and specialization focus on developing transparent and explainable AI systems that can be aligned with user preferences and needs. In particular, I am interested in the applications of explainability and alignment of AI in computer vision and natural language processing (NLP) tasks. I also have relevant publications, both as an independent researcher and as part of team-based research projects, at top AI conferences such as ICLR.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
