I am Amir, who loves analysing big data and building smart products in the field of Machine Learning, Computer Vision, Natural Language Processing (NLP), Data Science, and Robotics. I have collaborated as a researcher, computer vision, and NLP engineer with 5+ years of experience in academic and research environments. I have a great passion for high-tech solutions to address real-world problems with my background in NLP, Deep Learning, and Machine Learning. In recent years, I have focused on the field of natural language processing and computer vision as an intermediate field because I believe that sooner or later AI will inevitably impact all aspects of our lives, particularly how people make communication and share knowledge.

• Research assistant; Institute for Architectural Sciences, Technical University of Vienna, Austria
• Server Administrator; Computer Science Faculty, Data Mining and Machine Learning, University of Vienna, Austria
• Research assistant at the University of Applied Science FH Kufstein
• Information Technology Teacher at the Javan Rayaneh Institut
• Research Intern at the Afarinesh Institut

• Ph.D. Student at Design Computing Group, Technical University of Vienna, Austria
• Master of Science in Web Communication and Information System
• Master of Science in Software Engineering
• Bachelor of Science in Computer Science

• Knowledge Graphs - See credential
• Natural Language Processing Nanodegree - See credential
• Data Scientist Nanodegree - See credential
• Self-Driving Car Engineer - See credential
• Deep Learning with TensorFlow - See credential
• Container & Kubernetes Essentials with IBM Cloud - See credential
• Accelerating Deep Learning with GPU - See credential
• Natural Language Understanding, Stanford University
• Reinforcement Learning
• Ethical Hacking (CEH)

• Space function classification in apartment buildings using image deep learning semantic segmentation
• SAGC-A68: a space access graph dataset for the classification of spaces and space elements in apartment buildings
• Extracting topological features from room polygons based on a 2dimensional space partitioning approach
• Batch Layer Normalization, A new normalization layer for CNNs and RNN
• SFS-A68: a dataset for the segmentation of space functions in apartment buildings
• An Adaptive Deep Network for Building Footprint Segmentation