A programming enthusiast who always likes to work with the latest technologies. I am a professional DevOps and System Administrator and also an open-source enthusiast. Being skillful in Linux and automation techniques and scripts, I always strive to make every complicated and repeated operation smooth and automated to make them time efficient and effortless.
Therap (BD) Ltd. is an affiliate of Therap Services LLC which is a US based Software Company. They have been operating since 2003 and have offices in Dhaka, Bangladesh as well as in the USA and Canada.
B.Sc. (Engg.) in Computer Science & EngineeringTaken Courses:
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Higher Secondary School CertificateGPA: 5 out of 5 | ||
Chittagong Urea Fertilizer School and College2012-2014 Secondary School CertificateGPA: 5 out of 5 |
A simple software to encrypt or decrypt any file with some particular encryption algorithms. It’s my academic project to clear my Java Lab course.
An andrid app to report nearby crimes and also provides nearby crimes hotspots and alerts. The was developed as an academic project to accomplish the Software Engineering Lab course.
An andrid app to report nearby crimes and also provides nearby crimes hotspots and alerts. The was developed as an academic project to accomplish the Software Engineering Lab course.
A self assessed research to find out the best machine learning algorithm to detect phishing websites efficiently. The primary motive of this research is to choose the best model for PhishDetector Chrome Extension.
A website to catalog all the academic projects of different courses and batches.
An academic web project to automate the process of the thesis/project selection to maintaining them.
A research to detect headline inconsistency between news headlines and body texts.
A research to find out the opitmal machine learning models which works best to detect bengali fake news.
A simple telegram bot to self forward own messages and files to share them anonymously.
This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
This course provides the basic fundamental knowledge about machine learning approach and different machine learning algorithms.
This course provides the basic to intermediate knowledge of software testing. It also shows some real application of testing with some valuable guidelines.
This course helps to clear basic concepts of git and how to use it. This course also covers basic to advance commands to maintain version controls for projects.
This course helps to clear the fundamental concepts of cybersecurity. It also gives a detailed view of cybersecurity and vulnerability and the methods to fix them.
This course helps to clear the concepts behind the fundamental data structure and algorithms. It’s a beneficial course for beginners to get a headstart in algorithms and data structures.
