Blogs

"Known is a drop, Unknown is an Ocean!" - Avvaiyar

Knowledge becomes unlimited when shared with others. As a grad student, I realized this when I started writing technical content on Medium. I see that writing is taking me on a path that spreads positivity and enlightenment. This habit enables me to stay updated and learn new technologies, not only for my interest but also for the obligation I have earned as a blogger. Below are links to my articles on Medium. Let me know what you think by commenting and reacting to the articles on the Medium website.

This article talks about the significance of static code analysis, which is a very important part of the software development lifecycle. The blogs introduces the topic and then adds details about its merits and impact in software engineering.

This article intends to present the steps I followed during the preparation for the AWS Cloud Practitioner exam, which can be used by the starters to kickstart their prep. This content is my personal opinion and is based on my own experience to earn the CLF certificate.

This blog is a comprehensive guide that shares the steps to use AWS services for deploying a full-stack web application that runs a Machine Learning or Deep Learning model on the web app's backend. This article lets the readers explore services like S3 bucket, EC2 instances for storage and compute power, IAM roles for security, SageMaker for Machine Learning, Lambda for automation, and more.

This article summarizes the research paper" APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection". Written by A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville∗, Elizabeth Merkhofer, Laura Strickhart, and Matthew Walmer. The goal is to present a publicly available dataset for advancing research to detect physical adversarial patches. And also to present some experiments to validate the performance of their physical adversarial patches in different conditions.

The intention of this article is to review the steps taken in statistical hypothesis testing. The content will start with the purpose of hypothesis testing followed by identifying the parameters of interest, describing null and alternative hypothesis, statistical methods and results, and finally concluding the results

This article aims in introducing and explaining the important ML concepts for starting a career in Information Science. This blog covers topics that make learners understand why ML is required and how ML has evolved over the years.

Patterns in Data Structures and Algorithms

This artilce includes a series of articles that expose the patterns to learn and practice data stuctures and algorithms to get better at coding.

What About Agile Software Development?

This article is in pipeline and will be posted very soon on Medium.