LAYAN MOHAMMAD ALWATTAR

Machine Learning & Software Engineer

Available for AI/ML & Software Engineering Roles

Computer Science graduate from Qatar University specializing in building end-to-end machine learning pipelines, predictive analytics models, and geospatially enabled full-stack software architectures.

Machine LearningDeep LearningData SciencePythonGeospatial AnalyticsFull-Stack Dev

Technical Expertise Matrix

Languages & Frameworks

Python, Java, SQL, Dart, JavaScript, PyTorch, TensorFlow, Flutter, Next.js, React

AI & Data Science

Supervised Learning, Neural Networks, CNNs, Transfer Learning, EDA, Predictive Analytics

Cloud & Infrastructure

Supabase, PostgreSQL, Oracle SQL, REST APIs, Cloudflare CDN, Realtime Subscriptions

Featured Production Projects

Senior Capstone

Eventura — Smart Event Management

Sep 2025 – May 2026

A full-stack, real-time management and analytics platform. Designed GPS-aware geofencing, custom row-level security logic, and real-time database automation supporting 500+ concurrent live user interactions with check-in response speeds under 3 seconds.

FlutterNext.jsSupabasePostgreSQLGeofencing
Production App

Tafheem — Qur’anic Reflection Platform

Ongoing

Serving as Lead Developer directing the technical cloud architecture, backend scaling, and release schedules. Deployed securely using Cloudflare CDN systems for optimized production speed and global caching optimization.

System ArchitectureCloudflare CDNAPI DesignHostinger

Video Game Sales Predictor

Built end-to-end ML pipelines for 16,000+ data records using Random Forest & Neural Networks with advanced hyperparameter tuning via GridSearchCV.

Python • Scikit-Learn • PyTorch

Brain Tumor Classification

Leveraged Transfer Learning (ResNet50, MobileNetV2) to engineer an image-classification system achieving an outstanding 99% classification accuracy matrix.

TensorFlow • Keras • CNNs

Education

Qatar University

B.S. in Computer Science (GPA: 3.34)

Dean’s List — College of Engineering

Distinctions & Milestones

NPC Qatar Datathon Laureate

Invited to present core insights to senior officials at the National Planning Council.

Research Assistant Certificate

Honored for passenger choice optimization analytics workflows at Hamad International Airport.