Laila Alhalabi User

LU

Open to opportunities

Laila Alhalabi User

@lailaalhalabiuser

I build scalable SaaS, IoT monitoring, and modern full-stack applications.

What I'm looking for

I'm looking to build reliable, scalable software products where I can contribute across full-stack development, real-time data systems, SaaS workflows, and modern user experiences.

I've built full-stack SaaS applications, IoT monitoring platforms, and customer-facing web experiences in Montreal. At Avenum Solutions, I develop predictive-maintenance workflows using vibration anomaly detection, AWS IoT, Lambda, real-time scoring, and telemetry dashboards.

I integrate machine-learning predictions with alerting, thresholds, cooldowns, and email notifications, while building authenticated routes, role-based access control, and 2D and 3D sensor visualizations. I also automate deployment workflows with GitHub Actions and document architecture, migrations, and security risks.

Previously at Armonía, I helped build a scalable beauty-services platform, delivering reusable UI architecture, 20+ production-ready components, booking workflows, and 70+ high-fidelity Figma prototypes. At SharpView, I led delivery of a full-stack SaaS platform with subscription billing, secure APIs, multilingual support, and private-VPS production deployment.

I work across React, TypeScript, Node.js, Python, PHP, AWS, SQL databases, and modern DevOps tooling to create reliable, maintainable products.

Experience

Work history, roles, and key accomplishments

AS

Current

Full-Stack Developer

Current

Avenum Solutions

Apr 2025 - Present (1 year 5 months)

Built an end-to-end IoT vibration anomaly detection pipeline using per-machine Isolation Forest models and real-time scoring. Integrated ML predictions into AWS IoT/Lambda ingestion workflow with alerts and notifications.

React TypeScript PHP Python MySQL AWS IoT AWS Lambda GitHub Actions CPanel JWT Metareal Enterprise Intelligence Analytics scikit learn

Education

Degrees, certifications, and relevant coursework

CU

Concordia University

Bachelor of Engineering, Computer Software Engineering

2019 - 2023

Grade: Distinction

Graduated with Distinction. Key courses included Object-Oriented Programming, Web Programming, Databases, User Interface Design, Software Process, and Data Structures & Algorithms.

Tech stack

Software and tools used professionally

Postman

GitHub

Jenkins

GitHub Actions

MySQL

PostgreSQL

MongoDB

Node.js

Next.js

Figma

JavaScript

Java

PHP

scikit-learn

Prisma

Firebase

cPanel

AWS Lambda

JUnit

SQL

Auth.js

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