Cloud Automation Developer · AI & Data

Hi, I'm Lyba Mughees

Building scalable systems that turn operational complexity into simple, reliable automation.

I work at the intersection of software engineering, cloud infrastructure, and data-driven optimization—helping teams modernize platforms, reduce cost, and ship faster.

See my work Get in touch

0 VMs migrated

$Multi‑M Cost savings

0 Customer-impacting incidents

About

Engineer for resilient, high-impact systems.

Software Engineer & Cloud Automation Developer pursuing an MMAI at Queen's University, specializing in cloud automation, infrastructure modernization, and scalable enterprise solutions driven by AI and data.

I enjoy translating messy, high-pressure operational challenges into cleaner, smarter systems—whether that's migrating infrastructure, automating repetitive work, or improving how teams make decisions.

Focus

Cloud + Automation + AI

Current

Modernizing enterprise cloud workflows

Impact

Lower cost, stronger reliability, faster delivery

Experience

Bell Canada — Cloud Automation Developer I April 2025 - Present

Led migration planning for VMware → OpenStack (≈610 servers), recovered 50+ ESXi hosts via VM optimizations, and delivered multimillion-dollar savings. Produced runbooks and support playbooks.

Acted as Project Manager for the VMware → OpenStack migration, coordinating schedules, validation, and execution for 610 servers; reduced footprint by 50+ ESXi hosts.
Delivered $multi-million in cost savings through migration efficiencies and optimization.
Resolved 17 post‑migration incidents with zero customer-impacting issues.
Provided tenant support, coordinated cutovers, validated tasks, and ensured multi-team readiness.
Authored documentation, playbooks, and technical guides to support cloud adoption.
Managed after-hours migration schedules and cross-team alignment to enable successful execution.

Bell Canada — Software Developer May 2024 - April 2025

Built automation with PowerShell for migration workflows; implemented cost-optimization tooling and license automation.

Automated processes using PowerShell to streamline operational workflows.
Led VM cost‑optimization initiatives resulting in significant resource and cost savings.
Built automation tools for license assignment and audit maintenance across the VMWare environment.

Bell Canada — Software Development Intern Summer 2022 / Summer 2023

Redesigned internal portals, added SQL logging for audits, and improved internal tooling using C# and JavaScript.

Redesigned the employee hub portal to improve UI/UX and functionality.
Implemented SQL logging to enhance auditability of employee directory updates.
Built tools for internal event publishing and enhanced systems using C#, ASP.NET, JavaScript, and SQL.

Ontario Power Generation — Maintenance Strategies Coop May 2021 - Dec 2021

Automated maintenance reporting with VBA and SSMS; built Power BI models and a Power App for station records.

Developed VBA code to monitor and track vending machine purchases.
Created Power BI models for departmental spending visualizations.
Automated maintenance backlog tasks using SSMS and VBA.
Developed a Power App with Power FX for station condition record maintenance.
Ensured compliance with WANO standards.

Skills

Programming Languages

C++ C Java PHP HTML JavaScript CSS Python PowerShell Bash

Data & Analysis

SQL

Machine Learning / AI

Pandas NumPy Scikit-Learn SciPy

Cloud & Virtualization

VMware

Tooling

Git SQL Power BI

Projects

🏆 1st Place — Ontario Tech Capstone Exhibition

Smart Medicine Cabinet — Capstone Project

The Smart Medicine Cabinet automates medication management using a Raspberry Pi, touchscreen, mechanical dispensers, and sensors. Built on the MagicMirror framework, it provides reminders, controlled dispensing, and remote caregiver monitoring to improve adherence and independence.

Role: Designed the user interface using the MagicMirror framework, integrated it with the caretaker portal for real-time updates, and developed a Python-based gesture recognition script to verify medication intake—improving adherence, safety, and user independence.

Raspberry Pi MagicMirror IoT Sensors Python Cloud Sync

▶ Watch demo Code (GitHub) Poster

Obstacle Detection

A real-time obstacle detection system built with computer vision techniques in Python and OpenCV. The system processes video input, detects vehicles using a pre-trained Haar Cascade classifier, and highlights obstacles in real time for visual analysis.

Role: Developed the detection pipeline—processing video frames, converting to grayscale for optimized detection, integrating Haar Cascade classifiers for vehicle recognition, and implementing bounding-box visualization. Measured system performance and optimized frame processing efficiency.

Python OpenCV Haar Cascade Computer Vision

Code (GitHub)

Contact

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