Abbas Muzammil

I’m Abbas Muzammil — you can call me Abbas.

My journey into tech started simply by fixing broken computers. One thing led to another, and my curiosity drove me to study Computer Science, eventually going deeper into the field by earning my Master’s in CS at Cleveland State University.

Today, I’m a software engineer at BGSOF. I’m part of a team that is revolutionizing the kitchen & bath industry by building a modern, convenient e-commerce platform where manufacturers and showroom owners can display, quote, and sell their products with ease. With a catalog of over 1M+ products, we are integrating manufacturer data and utilizing tools like Typesense to ensure lightning-fast product discovery, all powered by robust data engineering pipelines. My interests also lies in UI/UX, Robotics, and Mobile App Development.

If you’re exploring a research problem, sitting on an idea that won’t leave you alone, or looking for someone to build a business with — I’d love to talk. The best work I’ve seen happens when curious people find each other, and I’m always glad to start that conversation.

Beyond code, I enjoy calisthenics, music, travelling, playing badminton, and playing the piano! :)

news

Feb 10, 2026	Joined BGSOF as a Software Engineer
Dec 14, 2024	Graduated with a Master’s in Computer Science from Cleveland State University with 3.7/4.0 grade.
Mar 20, 2024	Won HackPSU Hackathon North America Spring 2024 for the best web hack using React.js 🥇, competing with 17 teams from around the world. About Project · Award
May 15, 2023	Began my Master’s in Computer Science at Cleveland State University

favourite publication

Research

The Anatomy of a Large-Scale Hypertextual Web Search Engine

Sergey Brin, and Lawrence Page

Computer Networks., California. More Information can be found here , 1998

Abs DOI HTML

In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http://google.stanford.edu/ To engineer a search engine is a challenging task. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them. Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine – the first such detailed public description we know of to date. Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results. This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.