Amir Sami Baddour

Backend-Focused Full-Stack Developer

I build secure web applications, REST APIs, fintech platforms, and machine-learning-enabled features using PHP, ASP.NET, JavaScript, Python, and relational databases.

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About Me

Backend-focused engineering with an ML edge

Education

Bachelor of Science in Computer Science — Graduated 2026

Modern University for Business and Science (MUBS), Lebanon

Achievement

Participant – Lebanese Collegiate Programming Contest (LCPC 2024)

I focus on backend engineering: designing relational database schemas, building REST APIs, and implementing authentication, validation, and transaction logic. I work across PHP, ASP.NET, and JavaScript stacks, and I enjoy adding machine-learning-enabled features, such as feedback sentiment classification, to real applications. I care about writing clear, maintainable code and shipping features that solve concrete problems.

Location

Lebanon

Focus

Backend + Fintech + ML

amirsbaddour@gmail.com

Technical Skills

Technologies I work with

Grouped by proficiency so you know exactly where I am strongest.

Primary Skills

Technologies I use most and know in depth.

PHPLaravelC#ASP.NET MVCASP.NET CoreMySQLSQL ServerREST APIsGitGitHub

Working Knowledge

Technologies I use comfortably on projects.

ReactJavaScriptTypeScriptNode.jsExpress.jsPythonMongoDBPostgreSQLScikit-learnPandas

Familiar With

Technologies I have hands-on exposure to.

AWS EC2AWS LambdaAWS RDSAWS IAMDockerCI/CDML model evaluation

Machine Learning

ML knowledge & applied work

Machine learning concepts I have studied and applied on academic and personal projects, with a focus on evaluation.

Supervised Learning

Linear Regression
Logistic Regression
Decision Trees
Random Forest
KNN
SVM
Ensemble Methods

Model Evaluation

Confusion Matrix
Precision, Recall, F1-score
ROC & AUC
Cross-validation
Hyperparameter Tuning
Bias–Variance Tradeoff

Unsupervised Learning

K-Means
Hierarchical Clustering
DBSCAN

Dimensionality Reduction

Reinforcement Learning

Q-learning basics

Experience

Where I have worked

.NET Developer

Oqunet

Apr 2025 – Aug 2025

Developed ASP.NET MVC controllers, validation logic, and reusable backend services for internal web applications.
Implemented backend business logic, form validation, database operations, error handling, and role-based functionality.
Built SQL Server-backed CRUD functionality and data-access operations for core application features.
Used ADO.NET to connect the app to SQL Server and manage data operations.
Debugged and tested backend features alongside senior developers.
Structured the app using MVC architecture (controllers, models, views).

Full Stack Developer

SimLine

Jun 2024 – Nov 2024

Built RESTful API endpoints for data exchange between the frontend and a MySQL database.
Modeled MySQL schemas, wrote SQL queries, and implemented CRUD operations for core features.
Integrated frontend interfaces with backend APIs, handling request validation, JSON responses, and error handling.
Cleaned and prepared datasets for website import and ensured data could be consumed reliably by the app.
Created QR code functionality that allowed users to view the menu by scanning the code.

Projects

Featured work

A closer look at what I built, the problem it solved, and my role.

Digital wallet dashboard showing account balance, transfers, QR payments, and transaction history

Digital Wallet Platform

Senior Project

Problem: Users need a secure and simple way to transfer money, manage transactions, and make digital payments.
Solution: A full-stack digital wallet platform supporting authentication, peer-to-peer transfers, QR payments, transaction history, notifications, analytics, and feedback sentiment classification.
My Contribution: Designed the database structure, developed backend transaction logic, implemented authentication and validation, created REST API functionality, and integrated the frontend with the backend.

Secure authentication

Password hashing

Transaction validation

Relational database design

QR-based payments

Notifications

Transaction history

Analytics dashboard

PHPMySQLJavaScriptHTMLCSS

ML Integration

Implemented Logistic Regression and Random Forest models to classify user feedback after deployment, enabling automated sentiment analysis and data-driven improvement insights.

View CodeNo Live DemoNo Case Study

Air Quality Data Analysis

Data Science Project

Problem: Raw air quality datasets are noisy and hard to interpret, making pollution trends difficult to identify.
Solution: An exploratory data analysis workflow that cleans, processes, and visualizes air quality data to surface pollution trends and environmental patterns.
My Contribution: Cleaned and preprocessed the datasets, engineered features, ran statistical analysis, and built visualizations to communicate the findings.

Data cleaning & preprocessing

Feature exploration

Statistical summaries

Visualization dashboards

Pattern detection

PythonNumPyPandasMatplotlibSeaborn

Code Coming SoonNo Live DemoNo Case Study

Backend Web Applications

ASP.NET MVC

Problem: Internal business processes required structured web applications with reliable data handling and access control.
Solution: Backend-driven ASP.NET MVC applications with authentication, validation, and a clean controller-service structure backed by SQL Server.
My Contribution: Developed controllers, validation logic, reusable backend services, and SQL-backed CRUD functionality, and implemented role-based access.

Authentication systems

Form and input validation

Controller-service structure

SQL-backed CRUD operations

Role-based access

ASP.NET MVC.NET FrameworkC#SQL Server

Code Coming SoonNo Live DemoNo Case Study

Certifications