
Md. Rakib Hosen
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Md. Rakib Hosen
- Current 4 years and 5 months, since Jan 2022
Founder and CEO
Intellisane AI Ltd.
Intellisane AI is a data annotation and tagging service provider startup company based on Dhaka, Bangladesh. With our innovative & efficient data annotation & labeling services, we help companies to accelerate AI development & significantly reduce time to market.
- 1 year, Oct 2019 - Sep 2020
Research Assistant
Deep Dream Lab
Deep Learning Lab is a collaborative research group, working on Machine Learning and Deep Learning related problems. I working very close to Md. Fahim Sikder (Ph.D. researcher, at Linköping University, Sweden) since October 2019. We did research mostly on Machine Learning, Data Science and Big Data Analysis. Publication: Bangla Neural Machine Translation status: Work in progress #Deep Learning #Computer Vision #Natutral Language Processing
- 3 months, Jan 2020 - Mar 2020
Machine Learning Engineer (Intern)
HeadBlocks
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
- 4 months, Dec 2018 - Mar 2019
Machine Learning Trainee
UY LAB
- Collecting data from real-world and process them for usable train and test - Machine Learning algorithm - CNN, Deep Learning, Computer vision Project: "Bengali Vehicle Classifier" Using Deep Learning and Computer Vission
Ausbildung von Md. Rakib Hosen
- 4 months, Nov 2020 - Feb 2021
Machine Learning
Stanford University
I have successfully done a Machine Learning mastermind course at Stanford Online. It helps me a lot understand core ML from bottom to top. I learned- >Linear Regression with 1 Variable >Linear Algebra >Linear Regression with Multiple Variables >Octave/Matlab >Logistic Regression >Regularization >Neural Networks >ML System Design >Support Vector Machines >Unsupervised Learning >Dimensionality Reduction >Anomaly Detection >Recommender Systems >Large Scale Machine Learning >Photo OCR
- 4 years, Feb 2015 - Jan 2019
Computer Science and Engineering
Institute of Science, Trade and Technology
Sprachen
Bengali
C2 (Verhandlungssicher / Muttersprachlich)
English
C1 (Fließend)
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