Mahmudur R. Status: Offline
DhakaBangladesh

Machine Learning Engineer

Below are my Industry experience Now working on Driver anomaly detection. Generate alert if driver in some certain condition otherwise it is safe-driving. Developed an object tracking system. If an object cross a certain line or area it will take snapshot for that object. Use GPU for better performance. Automatic Unknown Face Recognition or labeling and also liveliness detection. If a person is unknown and also in a live(not in a picture)then it collect data from web-cam or ip-camera, then make a specific folder for every person and name a random string of that folder. That will be the class of that person. After that train the faces with LBP algorithm. Use RabbitMQ as a message passing interface at the time of training images. If someone show his/her photo then it display Fake and do not collect any pictures otherwise it display Real and collect pictures. Write a python code which can open several Ip-camera at a time based on socket-programming. When a new ip-camera is launched it call a thread for each ip-camera. Collect More than 1500 dataset and annot by hand and then augmentation with different methods. After train data this with yoloV4 I have direct Experience working on following topics: Python Scikit-learn Tensorflow Keras OpenCv
Work history

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Skills

Skills

  • Java
  • Python
  • Deep Learning
  • OpenCV
  • Keras
  • PyTorch
  • Autoencoder
  • Anomaly Detection
  • Decision Tree
  • Machine Learning
  • Data Science
  • Data Analysis
  • Android
  • Flutter
  • Artificial Intelligence