AH

Welcome to my website. Thanks for stopping by. 👋

Projects

About Me

Get to know me!

Hi, I'm Abdiqani, from Ottawa! I enjoy solving challenging problems, and I do it with the use of code! I'm a Sophmore at Carleton University, where I'm studying Computer Science. In particular, I love learning about cybersecurity and working with and I do a bunch of Full-Stack development too.


Besides coding, some of my other passions are the following:

  • Somali Student Association: I'm currently the treasurer for Carleton's Somali Students Association where we hold events and panels to introduce Soamli culture to members of the Carleton community!
  • Sports: Whether it's watching or playing, you can catch me cheering on the Toronto Raptors and other Canadian sports teams, or playing a quick pick-up game of basketball
  • Hobbies: Some of my other hobbies include scenic biking & hiking, playing NBA 2k & board games with friends and trying new dishes!

Skills

Python

Java

C/C++

Bash

Javascript

SQL

Spring Boot

React

MongoDB

AWS

Docker

Burp Suite

Splunk

Wireshark

Namp

Snyk Dast

Snyk Open Source

Checkmarx

Experiences

  • Shopify
  • Scotiabank
  • Government of Canada
  • BioCare
  • Digital Builders
  • Somali Student Association
  • Carleton ColorStack

Engineering Intern @Shopify

Jan 2027 - Apr 2027 (Incoming)

  • Incoming Engineering Intern for the Winter 2027 term.

Featured Projects

NetSafe

SafeNet is a edge-based AI traffic inspection and load-balancing system that performs real-time request classification, filtering malicious patterns and securely routing approved traffic.

CipherScan

CipherScan Scanner is a Python-based application designed to scan AWS S3 buckets for security vulnerabilities

PortGuard

PortGuard is a Python network security scanner that identifies open ports and exposed services to help detect potential attack surfaces.

AI IDS

This project implements an AI-powered Intrusion Detection System (IDS) that identifies malicious network activity using both unsupervised and supervised learning models.