Md. Rakib Hosen

Research Assistant
Deep Dream Lab

Biography


Md. Rakib Hosen is an Research Assistant who works in the field of Deep Learning and Computer Visions of Deep Dream Lab. He also works very close to Md Fahim Sikder; a Ph.D. student and researcher of Linkoping University, Sweden. Previously, he worked as a Machine Learning Engineer(Intern) in an R&D company named HeadBlocks.

Rakib was born in Bhola, Bangladesh in 1996. He passed S.S.C from Tabgi Secondary School, Bhola and H.S.C from Bhola Govt. College, Bhola respectively in 2011 and 2013. He received a B.Sc (Hons) degree in Computer Science and Engineering from the Institute of Science, Trade and Technology, Bangladesh and he participated in several online programming contests.

His research interests include Deep Learning, Computer Vision, Natural Language Processing, Robotics and Data Science.

Education

Courses

  • Object-Oriented Programming
  • Artificial Intelligence
  • Software Engineering
  • Image Processing
  • Database Management System
  • Statistics
  • Linear Algebra

Degree

  • B.Sc in Computer Science and Engineering , 2018

    Institute of Science, Trade and Technology

  • Higher Secondary School Certificate, 2013

    Bhola Govt. College

  • Secondary School Certificate, 2011

    Tabgi Secondary School

Experience

Machine Learning Engineer, HeadBlocks

Jan 2020- Mar 2020, Dhaka-Bangladesh

HeadBlocks is an R&D based Software Development company. It basically works on Artificial Intelligence, Machine Learning, Image Processing projects. I'm working on data preprocessing, cleaning and manipulation.Image Processing,ML model creation,Research for better accuracy and update, Software Development


Artificial Intelligence Trainee UY LAB

Dec 2018- Mar 2019, Dhaka-Bangladesh

- Collecting data from real-world and process them for usable train and test - Machine Learning algorithm - CNN, Deep Learning, Computer vision


Accompolishments

Artificial Intelligence Trainne


Convolutional Neural Network


Coursera April 2020

Didn't complete yet

Publications

Page Under Development


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Projects

Person identify using Deep Learning, Tensorflow-JS


TensorFlow.js is a JavaScript Library for training and deploying machine learning models in the browser and in Node.js. I complete a project as a assignment of Coursera TensorFlow: Data and Deployment Specialization, course-1,Browser-based Models with TensorFlow.js week-4.


Custom Object Detection


This repository is for TensorFlow's Object Detection API to train an object detection classifier for multiple objects on Ubuntu. It was originally written using TensorFlow version 1.5, but will also work for newer versions of TensorFlow. I careated a new dataset with 6 categories images(Book, Mug, Water Bottle, Cent, SmartPhone, Wallet) using my smartphone camera. After traing, I used my laptop's webcam for detections

The academic result is most important for a student in their career. This result depends on their academic performance and many other factors. Educational data mining can helps both students and institutions to develop their academic performances. For analysis of their performance, we can use new techniques Deep Learning, Convolution Neural Network, Data clustering, Optimization algorithm etc. in machine learning. Using Deep Learning, we will predict student's yearly performance in the form of CGPA and compared that with real CGPA. A real dataset can boost the prediction performances. We used a real dataset from the Institute of Science, Trade, and Technology (ISTT)

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Skills

Python
95%
Deep Learning
85%
Computer Vision
85%
Tensorflow
80%
Keras
95%
JavaScript
60%
Natural Language Processing
30%
HTML,CSS
90%

Contact