Zeki B.

I am an AI/ML practitioner with a passion for academic research. I have PhD in Computer Science from the City University of New York (CUNY). I have extensive research and development experience in the industry. My area of expertise includes AI, machine learning, deep learning, computer vision, NLP, data science, privacy enhancing technologies, federated learning, reinforcement learning, and telecommunication. While working in the industry, I have been also involved in many academic research studies, and have 30+ scientific articles published in prestigious conferences and journals. My computing skills: Very proficient with deep learning and machine learning algorithms (e.g. supervised & unsupervised algorithms, reinforcement learning, LSTM, SVM, decision trees, KNN, RF, and more – have publications on these issues) Very proficient with computer vision techniques such as object recognition (by YOLO), image classification (by CNN), biometric identification by siamese networks. Very proficient with privacy-preserving ML solutions such as federated learning, differential privacy, multiparty computation (have publications on this issues) Very proficient with NLP issues such as vectorization, word embeddings, text segmentation and classification Very proficient with programming in Python, C and C++ Very proficient with Tensorflow and Scikit-Learn Machine Learning Frameworks Very proficient with image processing techniques by OpenCV Very proficient with vulnerability detection on source code by ML Very proficient with Network Simulator (ns-3) Proficient with Bash Shell scripting on Linux operating system Experience with AWS, SQL, MATLAB, Nmap, Wireshark, Backtrack, Wmware Experience with ROS (Robot Operating System) and Gazebo simulation