data science

[v.1.0] (06/15/2023): Post published! During a recent interview for a software engineer intern position, I had an intriguing conversation with a start-up CEO. We discussed a software-system problem that presented an opportunity to gradually integrate a machine learning (ML) solution. The challenge involved a Software-as-a-Service (SaaS) platform that aimed to match buyers or customers with suitable sellers or agents. This blog chronicles my research into the fascinating profile-matching problem, with a specific focus on the matching algorithms employed....

[v.1.0] (04/28/2023): Post published! I recently finished an excellent graduate course, Software Engineering (CS5704), and learned about different aspects of software projects and how different-size companies handle their technical/business changes to deliver successful products to their customer. Some important topics are Process Models (Waterfall, V-Model, Spiral, Agile), Requirements Definition, and Architecture Design Patterns. Especially, S.O.L.I.D principles have struck me as must-known concepts for writing better and cleaner code. Why do S....