Amir M.

Data Scientist , Programmer , Machine Learning High performance Computing , Cuda Programming, Java , Golang , C#.Net developer, Deep Learning. Programming Language: Java, C++, Python, C#.net, JavaScript, NodeJS, Golang, HTML, PHP, Delphi, Embedded C, MATLAB. Skills: Spring MVC, REST, AWS, Azure, DevOps, MySQL, Agile Methods, Linux: (Ubuntu, Fedora, RedHat), React, Micro Services, SQL server, Smart Home Design, AI, Recommender System. Experience: Java: Skills: Mobile App design, Game design, MySQL, Android Studio. Projects: - Cosmetics Store (Android App). - Chess Game for Mobile Application with Unity(Android App). - Computer peripherals Store with Recommender System (Android App). Python: Skills: Data Mining, Deep Learning, TensorFlow, Object detection, Speech Recognition, PyTorch, Raspberry Pi. Projects: - Intrusion Detection with Fusion of GRU, LSTM, CNN, Implemented in Raspberry Pi for Philips B120N10 Baby Monitor. (2021) - Human Identify detection with speech using MFCC and CNN. (2020) - Site Light Calculation using ANFIS Neural net. This project implemented in Raspberry Pi for Smart Home. (2018) C++ and CUDA: Skills: NVidia CUDA, High Performance Computing, Parallel Programming, Multithreading, Vectorization, Low level Programming for real time systems, Software Design for critical applications. Projects: -CUDA based Implementation of Adam Algorithm for training Convolutional Neural Net. (2022) - Implementation of High performance Chess Kernel in C++ for windows Applications. (2017) Projects: - Fast OCR Mobile Android app in C# for converting image to number (2019). - Implementation of Web Server for Online Weighbridge with RS232 , MOXA (RS232 to LAN) , Java as web connection manager, User Interface (Java , PHP , HTML), web server in C#. (2009) Embedded C: Skills: Micro kernel design, real time programming with C for Microcontrollers such as PIC, AVR, ARM mixing with Assembly programming Language. Projects: - Implementation of controller of Robot ARM with 4 degree freedom in ARM Microcontroller. (2019) - Cooperative Operation System for Carpet Factory, Implemented in C with AVR Mega32 Microcontroller. (2018) Machine Learning: Skills: Familiar with of Machine Learning , Support vector Machine , Neural Net, Deep Learning, Convolutional Neural Net, Optimization Algorithm, Genetic Algorithm(NSGA II), Particle Swarm Optimization, Imperialist Competitive Algorithm, Neural Net, Deep Learning, Generative Adversarial Network, Text Mining, Object detection, Graph based Neural Net, YOLO. Projects (Machine Learning): - twitter Subject detection using Deep Learning, Implemented in Python. - Corona Detection using CT-Scan Images with Deep Learning, Implemented in MATLAB. - Improving YOLO3 with LSTM, Implemented in MATLAB. - Generative adversarial Network for Brain Lesion Detection, Implemented in Python.