Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

4th-year Artificial Intelligence Engineering student at ENSIA with hands-on experience across Machine Learning, Data Science, and Full-Stack development. Seeking a school internship to apply technical skills to real-world projects and gain professional experience. Recent projects include ML time-series forecasting with XGBoost, malware/URL detection using behavioral analysis and threat-intelligence APIs, and a full-stack AI platform for CV/image matching. Also has mobile experience building a Flutter productivity app backed by Firebase.…4th-year Artificial Intelligence Engineering student at ENSIA with hands-on experience across Machine Learning, Data Science, and Full-Stack development. Seeking a school internship to apply technical skills to real-world projects and gain professional experience. Recent projects include ML time-series forecasting with XGBoost, malware/URL detection using behavioral analysis and threat-intelligence APIs, and a full-stack AI platform for CV/image matching. Also has mobile experience building a Flutter productivity app backed by Firebase.

Oudah Lin a Se lma

Full Stack Developer, Data Scientist, Data Engineer, +2





4th-year Artificial Intelligence Engineering student at ENSIA with hands-on experience across Machine Learning, Data Science, and Full-Stack development. Seeking a school internship to apply technical skills to real-world projects and gain professional experience. Recent projects include ML time-series forecasting with XGBoost, malware/URL detection using behavioral analysis and threat-intelligence APIs, and a full-stack AI platform for CV/image matching. Also has mobile experience building a Flutter productivity app backed by Firebase.…4th-year Artificial Intelligence Engineering student at ENSIA with hands-on experience across Machine Learning, Data Science, and Full-Stack development. Seeking a school internship to apply technical skills to real-world projects and gain professional experience. Recent projects include ML time-series forecasting with XGBoost, malware/URL detection using behavioral analysis and threat-intelligence APIs, and a full-stack AI platform for CV/image matching. Also has mobile experience building a Flutter productivity app backed by Firebase.

Available to hire

4th-year Artificial Intelligence Engineering student at ENSIA with hands-on experience across Machine Learning, Data Science, and Full-Stack development. Seeking a school internship to apply technical skills to real-world projects and gain professional experience.

Recent projects include ML time-series forecasting with XGBoost, malware/URL detection using behavioral analysis and threat-intelligence APIs, and a full-stack AI platform for CV/image matching. Also has mobile experience building a Flutter productivity app backed by Firebase.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

Web Developer Intern at Toycway

July 1, 2026 - Present

Developed and maintained a mobile productivity application and built full-stack capabilities. Worked on features that track habits and tasks with cloud-backed data storage using Firebase. Contributed to building responsive front-end experiences using React/Tailwind, and implemented REST APIs to connect front-end and back-end services.

Web Developer / Project Developer (Research & Personal Projects) at Freelance / University projects

January 1, 2025 - December 31, 2026

Built multiple data and web/security projects: (1) ML time-series attendance forecasting using calendar/time signals and tuned XGBoost, deployed with Streamlit achieving up to 0.91 R²; (2) appliance power consumption modeling on Kaggle achieving 97% accuracy using Python; (3) malicious URL detection combining JavaScript behavior analysis with threat-intelligence APIs; (4) suicide rate analysis using an ARIMA model with WHO data and validation inside the 95% confidence interval; (5) a React/TypeScript full-stack CV matching platform connecting students to research opportunities.