Abdullah al Mamun

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I have been a professional software developer for the last 10+ years. I have experience in the analysis, design, development, testing, and implementation of application designing and development platforms. I have good exposure to object-oriented design, software architectures, design patterns, test-driven development, and Project Management. I'm interested in research in AI, ML, DS. My research has been published in 6 different international journals and conferences, including IEEE. I reviewed a book that was published on Amazon Kindle. I am a member of the Bangladesh Computer Society (BCS), Institution of Engineers, Bangladesh(IEB), and Industrial Engineering & Operations Management(IEOM)

artificial intelligence machine learning artificial neural network learning markov aws deep racer software development kubernetes docker devops rnn cnn supervised learning ann mlp pattern recognition hmm bangla overfitting underfitting recurrent neural networks neural networks random forest principal component analysis pca natural language processing nlp bayes thorme naive bayes multilayer perceptron neural network lstm long short term memory linear regression regression k-nearest neighbor knn hidden markov model boosting bagging ensemble learning convolution neural network unsupervised learning reinforcement learning q-learning cloud engineering computer engineering elk waterfall agaile devsecops imeom 2022 challenges of ai opportunities of ai applications of ai classification ai project management agile software jenkins virtual python ocr multi-layer perceptron optical character recognition speaker recognition vq mfcc speech recognition speech-synthesizer text-to-speech concatenative

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Abdullah al Mamun

Präsentationen

Concatenative bangla speech synthesizer model

Performance analysis of bangla speech recognizer model using hmm

Automatic Speaker Recognition system using MFCC and VQ approach

An approach to empirical Optical Character recognition paradigm using Multi-Layer Perceptorn Neural Network

Artificial intelligence Presentation.pptx

Python Virtual Environment.pptx

DevOps Presentation.pptx

Artificial Intelligence: Classification, Applications, Opportunities, and Challenges

Session on evaluation of DevSecOps

Reinforcement Learning, Application and Q-Learning

Artificial Neural Network ANN

Convolutional Neural Networks CNN

Ensemble Method (Bagging Boosting)

Hidden Markov Model (HMM)

K-Nearest Neighbor(KNN)

Linear Regression

Long Short Term Memory LSTM

Multilayer Perceptron Neural Network MLP

Naive Bayes

Natural Language Processing (NLP)

Principal Component Analysis PCA

Random Forest

Recurrent Neural Networks (RNNs)

Underfitting and Overfitting in Machine Learning