Milad Soleymani

Highly motivated and experienced Data Scientist with a strong focus on developing Deep Machine Learning algorithms to discern patterns in Motor Imagery tasks. Skilled in utilizing deep learning models to transform voice data into appropriate embedding features for both supervised and unsupervised machine learning algorithms. Proficient in working with various computer vision models, including object detection models (e.g., YOLO), segmentation models (e.g., RCNN, DEEPMAC, and K-net), and generative models (e.g., stable-diffusion and controlNet). Additionally, experienced in utilizing state-of-the-art models like GPT, GPT-2, BERT, and RoBERTa for natural language processing tasks, particularly in chatbot development. Possesses a strong educational background as an Electrical Engineer, enabling a comprehensive understanding of both hardware and software aspects.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Educations

Electrical EngineeringBachelor'sKhaje Nassir Toosi University of Technology2023-09-30 Iran

Supervisor's name :Dr. Behrooz Nasihatkon

Title :

Developing a Label Tracking Tool for Semantic Segmentation of Road Videos and Lines

Work Experiences

Data Scientist

at KeyLead Health

Start : 30-Sep-2020

End : 30-Sep-2023