MilitarY, ProductioN & R&D
SWE TecH JunkiE
Hi there! I'm Abdur Rahim Ratul Ali Khan (ARRAK)
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I'm a Programmer (R&D) and Certified Research Peer Reviewer. Currently, I’ve been serving as a Peer Reviewer (based on Software Engineering (SWE), Data Science, Cybersecurity, AI/ML) at Springer Nature. Previously, I’ve served at icddr,b (formerly known as the International Centre for Diarrhoeal Disease Research, Bangladesh) by focusing on Full Stack role in Software Engineering (SWE) & Data Science. Also, I've worked at Shahjalal Islami Bank PLC (SJIBPLC), AzolutionSE, and DevsFair, where I specialized in full-stack development with a focus on Research and Development (R&D). Throughout my career, I've served in various sectors & worked in various environments. I'm nurturing expertise in Software Engineering (SWE) & Data Science, focusing on Bioinformatics, Cybersecurity, Acoustics and Signal Processing, Speech Processing, AI (Machine Learning), Optimization, and Scientific Computing.
I am currently pursuing my research-based Master's in Information Technology (MIT) at the Institute of Information Technology (IIT), Jahangirnagar University (JU), Dhaka, Bangladesh, where I'm building advanced expertise in IT management and strategy. I further honed my analytical skills by completing the “R for Applied Statistics and Data Science” program at the Institute of Statistical Research and Training (ISRT), University of Dhaka (DU), Dhaka, Bangladesh. Earlier, I earned a Bachelor of Science (B.Sc.) (Engg.) in Computer Science and Engineering (CSE) at Uttara University (UU), Dhaka, Bangladesh. My academic journey began with initial enrollment in the Bachelor of Science (B.Sc.) (Hons.) in Mathematics program at Pabna University of Science and Technology (PUST), Pabna, Bangladesh.
My primary strength lies and I adore myself as a polyglot with a strong feeling for Research, and Development (R&D). I love to explore & always keen to learn new technologies in my leisure. Also, I predominantly like Nasheed Music, Recite the Holy Quran & get to know about different Cultures & People.
Crafts: Problem-Solving, Algorithms & Data Structures, Object-Oriented Programming (OOP)Languages: C#, TypeScript, R/Python, Java, JavaScript, HTML, CSSLibraries: pandas, NumPy, matplotlib, seaborn, scikit-learn, tidyverse, dplyr, ggplot2, readr, stringr, lubridate, data.table, jQueryStatistics (via RStudio): Data Management; Regression (Linear, Logistic, Multilevel); Panel & Time-Series Analysis; Survey Data Procedures; Graphics & VisualizationTools: Swagger, Postman, Apache JMeter, Slack, Git, GitHub, Bitbucket, Trello, Jira, ClickUpIDEs/Editors: Visual Studio, VS Code, RStudio, Android Studio, LaTeXDatabase: MS SQL Server, MySQL Workbench, PostgreSQLFrameworks: .NET Technologies, Angular, BootstrapReporting Tools: SAP Crystal Server (RPT), Report Definition Language Client (RDLC)Software Development Concepts: Agile (Scrum/Sprint), Clean Architecture, Three-Tier Architecture, SOLID Principles, MVC, Repository Pattern, Layered Architecture, Facade Design Pattern, Factory Design Pattern
RESEARCH INTEREST: Software Engineering (SWE), Data Science, Cybersecurity, AI/ML
Featured Courses
Featured Courses
[August 2020] Started a Course titled "Science of Exercise" offered by University of Colorado Boulder on Coursera, 2020
About this CourseLearners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.Read more
About this CourseLearners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.Read more
[August 2020] Started a Course titled "Google Cloud Platform Big Data and Machine Learning Fundamentals" offered by Google Cloud on Coursera, 2020
About this CourseThis 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.Read more
About this CourseThis 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.Read more
[August 2020] Started a Course titled "Machine Learning" by University of Washington on Coursera, 2020
About this SpecializationThis Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.Read more
About this SpecializationThis Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.Read more
[August 2020] Started a Course titled "Google IT Automation with Python" offered by Google on Coursera, 2020
About this Professional CertificateThis new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.Read more
About this Professional CertificateThis new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.Read more
[August 2020] Started a Course titled "Artificial Intelligence (AI)" offered by IBM on Coursera, 2020
About this CourseIn this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.Read more
About this CourseIn this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.Read more
[May 2020] Started a Course titled "Music Production" offered by Berklee College of Music on Coursera, 2020
About this SpecializationThis Specialization will give you the knowledge and tools you need to record and produce professional sounding music. You will begin by developing your identity, vision, and intention as an artist and producer. Next, you will learn the technical aspects of music production, including how sound is translated into audio signals, recording techniques, and effects such as reverb, delay, and compression. You will also learn how to use the industry standard Digital Audio Workstation, Pro Tools, to create professional recordings. Finally, you will apply the knowledge and tools you gained in a culminating 4-week Capstone where you will complete a project beginning at the pre-production stage through the recording, mixing, and mastering stages.Read more
About this SpecializationThis Specialization will give you the knowledge and tools you need to record and produce professional sounding music. You will begin by developing your identity, vision, and intention as an artist and producer. Next, you will learn the technical aspects of music production, including how sound is translated into audio signals, recording techniques, and effects such as reverb, delay, and compression. You will also learn how to use the industry standard Digital Audio Workstation, Pro Tools, to create professional recordings. Finally, you will apply the knowledge and tools you gained in a culminating 4-week Capstone where you will complete a project beginning at the pre-production stage through the recording, mixing, and mastering stages.Read more
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