Razan Hasbini

During my 2 months at SHELT, a cybersecurity company, I worked as an Automation & Development Intern where I built a full-stack platform to automate core cybersecurity operations for SOC & CTI teams.
By the end of the internship, I had reduced more than 80% of the manual work dine by the team and turned it into automated operations with the press of a button, allowing them to take this reduced time into growing their skills and expanding the company’s services.

The dashboard centralizes and automates tasks such as impersonation detection, data leak discovery, and reporting, while ensuring secure handling of sensitive data through role-based access control.

Key Highlights
* Advanced Dark Web Intelligence & Scraping (Python, FastAPI, Requests, Tor, Regex, GitHub API)
* Integrates surface web, Tor, breach databases, GitHub scanning, and impersonation detection
* Provides automated risk scoring and structured multi-source outputs
* Automated Reporting Engine (Python, Pandas, python-docx, PDF generation)
* Converts weekly data into branded DOCX/PDF reports
* Includes deduplication, metrics, charts, screenshots, and risk analysis
* End-to-End Workflow Automation (FastAPI, Background Tasks, SMTP)
* Transforms manual SOC processes into asynchronous pipelines
* Supports background processing, status tracking, and email notifications
Core Modules
* Domain Threat Mapping (Python, DNS resolution, threading/concurrency)
* Detects impersonation domains through large-scale variation generation and analysis
* Social Media Impersonation Detection (Playwright/Selenium, browser automation)
* Identifies fake accounts across platforms with automated evidence collection
* Google Dorking Engine (Python, search engine scraping/APIs)
* Discovers exposed data and misconfigurations using advanced search queries
* Proxy Chain Management (Networking, Proxy protocols, Python)
* Enables proxy rotation, validation, and controlled outbound scanning
Platform Features
* Centralized Dashboard (Next.js, React)
* Backend API & Orchestration (FastAPI)
* Database (SQLite)
* Authentication & Authorization (JWT/Bearer Tokens, PBKDF2 hashing)
* Admin Panel (Analytics, logs, user/client management)
* Report Archive & File Handling (File system + DB integration)
* Client Management (Role-based access control)

Worked on a telegram user bot that can analyze other users’ benefit to the company by extracting account data and analyzing the user’s text style in groups, plus a payment merchant bot for telegram stars.

Organized local and national events in collaboration with other organizers from all
around the MENA region that support students interested in cybersecurity and willing to
learn new skills.

managed and executed a globally affiliated innovation
event, uniting developers, engineers, designers, and scientists to tackle real-world
challenges using NASAs open source data.

During my internship at integrated Digital systems, I built an API from scratch, we used layered architecture so I split my backend into 4 layers, presentation layer, which basically was the API layer taking inputs from users, and sending and receiving HTTP requests then the next layer was the application layer which called the logic and managed transactions, it basically (in non technical words) was the coordinator of all the steps, after that I built the domain layer, which is my favorite because all the logic is in there, it analyzes the inputs and takes decisions, it defines what our my system accepts and what it doesn’t, it’s the layer that does the calculations when necessary.
Finally the infrastructure layer which we can say holds our info and resources, it contains the database, external APIs and stored files.
All together these layers work in sequence to handle a request from start to finish, each layer having a clear responsibility.
Then to make it even more professional, I added MVC( Model View Controller )architecture to the presentation layer to separate request handling logic into controllers, data representation into models, and response formatting into views. (using .NET/C#)
Finally I connected it to a REACT frontend.

During my internship I worked on the application “mia” which is an application available on the app and play store.
When we first adopted mia it was full flaws, and the development environment it was in was very messy, however the team of interns and I made sure to tackle everything wrong with it, and fix all the issues to make it a more professional application, with easier usage, and more functionalities that meet today’s standards.

Trained students to achieve certification accredited by STEM.org USA and KHDA
Dubai through courses in data analysis, machine learning, Game & Web Development.