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Software Engineer with less than a year in Full Stack Web Development & AI/ML.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Third-year Computer Science student skilled in Python, Java, JavaScript, React and Node.js. Experienced in building web apps, AI models, and scalable APIs. Passionate about problem-solving and teamwork.
Beirut Arab University
Computer Science Student
August 1, 2023 – June 30, 2026
CodSoft
Machine learning intern
September 1, 2025 – October 1, 2025
India
Codveda Technologies
web development intern
August 1, 2025 – September 1, 2025
India
Code Alfa
Java Programming Intern
June 1, 2024 – July 1, 2024
India
Code Alfa
web development intern
June 1, 2024 – September 1, 2024
India
Database Query Analysis for Restaurant Management
June 28, 2026 – Present
This project involves constructing and analyzing SQL queries to extract meaningful insights from a restaurant management database
AHLA BHAL TALLEH - Lebanon Exploration Platform
March 1, 2025 – May 1, 2025
Built a user-friendly platform for discovering Lebanese attractions, with interactive maps, reviews, and emergency services using React, Node.js, and Google Maps API.
Arabic News Classification Using Machine Learning
March 1, 2025 – May 1, 2025
Built an Arabic news classifier using Naïve Bayes and TF-IDF, achieving high accuracy on the Khaleej dataset (7 categories). Optimized NLP techniques for scalable text categorization.
University Management System
November 1, 2024 – December 1, 2024
The University Management System is a Java-based application designed to simulate core academic operations within a university setting. The project leverages fundamental data structures—Arrays, Linked Lists, Stacks, and Priority Queues—to manage students, faculty, and courses efficiently.
Digital Land Management System
March 1, 2024 – May 1, 2024
Developed a Java-based OOP system to digitize land records, automate transactions, and streamline operations like merging/splitting plots for efficient government use.
Full-stack Website
February 1, 2024 – Present
Created "Tunetastic" beat platform with pure HTML, CSS, JS, PHP, and SQL, fully hardcoded without frameworks.
Machine Learning for Diabetes Risk Prediction
September 1, 2005 – December 1, 2025
Diabetes Risk Predictor uses machine learning (Random Forest, AUC 0.97) to analyze health data, identifying key risk factors like Polyuria to enable preventive care for its patients.
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from machine learning to full-stack web development and data management, indicate a broad interest in different technical domains. The volunteer work also suggests a community-oriented mindset. The target role of 'Software Engineer' aligns well with the breadth of skills and project types, demonstrating adaptability and a willingness to explore various areas of software development.
Soft Skills & Operational Fit
The candidate's volunteer experience suggests a capacity for teamwork, communication, and working under pressure, which are valuable soft skills. The project descriptions indicate an ability to tackle complex problems and deliver functional applications. However, the internship durations are relatively short, which might limit the depth of operational experience gained.