Summary
Borhan Petgar is an Artificial Intelligence Engineer and computer engineering student at K. N. Toosi University of Technology with five years of hands-on experience applying deep learning and classical ML to computer vision, multimodal, NLP, and GNN problems. At Resanai he builds production-oriented vision systems—from object detection, segmentation and video action recognition to GAN- and diffusion-based enhancement—while integrating text-image fusion and zero-shot approaches to extend model capabilities. Comfortable in PyTorch and familiar with BERT/GPT-style NLP models, he bridges research and engineering to deliver end-to-end solutions that combine temporal modeling, attention-based fusion, and domain adaptation. His teaching assistant roles across speech/NLP, statistics, architecture, and networks demonstrate strong fundamentals and an ability to communicate complex concepts to diverse audiences. Based in Tehran, he stays current with state-of-the-art methods and is particularly interested in advancing multimodal learning pipelines that improve real-world video and image understanding.
5 years of coding experience
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at K. N. Toosi University of Technology
English, Persian, German, Arabic