AI & Machine Learning Engineer — building intelligent, data-driven systems with PyTorch, TensorFlow, and a deep focus on Computer Vision and NLP.
I'm Abanoub Nasif, a Machine Learning & AI Developer focused on building intelligent, data-driven solutions for real-world problems. I specialize in transforming raw data into reliable ML models with a strong emphasis on accuracy, clarity, and performance.
I have hands-on experience in data preprocessing, feature engineering, analysis, and visualization, and in developing machine learning models. I work across supervised learning tasks, model evaluation, hyperparameter tuning, and performance optimization to ensure production-ready results.
I've built and evaluated 10+ Machine Learning and AI projects, achieving 80%+ accuracy across models. My work follows a structured ML pipeline — from data understanding and feature design to model training, validation, and optimization — always with a focus on real-world applicability and measurable impact.
Core Skills
Tools & Frameworks
Ain Shams University — Faculty of Computer and Information Sciences. Specializing in AI, deep learning, algorithms, and software engineering.
Completed Andrew Ng's flagship ML course on Coursera by Stanford & DeepLearning.AI — covering supervised learning, neural networks, and best practices for building real-world AI systems.
View CertificateHands-on machine learning training covering core supervised and unsupervised algorithms, model evaluation, and applied AI problem solving.
View CertificatePractical training on classification, regression, fine-tuning, and preprocessing pipelines using Scikit-learn on real-world datasets.
View CertificateLinear Algebra, Calculus, and Statistics tailored for ML practitioners and data-driven problem solving.
View CertificateFrom front-end development to ML internships — a path driven by curiosity, competition placements, and a focus on shipping real work that matters.
Selected AI/ML and Flutter projects — built with precision and a focus on real-world applicability.
Predicted water safety using Logistic Regression & Random Forest with full EDA, feature engineering, and cross-validation. Finished Top 10 in ApplAi's competition.
Note: The training dataset used synthetic/random data — 86% was the theoretical maximum achievable accuracy on this dataset, not a model limitation.
View on GitHub
ML models on 187K+ records with 21 features to predict and classify real estate listings with high accuracy.
Kaggle
Feature extraction and deep learning classification pipelines on the Labeled Faces in the Wild (LFW) dataset.
Cross-platform Android fitness application built with Flutter and Firebase — workout tracking, user auth, real-time data sync, and a clean modern UI.
GitHub
Full desktop application for BeSavior, a firefighting tools company. Built with Flutter for desktop — inventory management, order tracking, and reporting dashboards.
Fully responsive commercial website for AmeshUSA, delivering a clean UI, optimized performance, and a seamless browsing experience.
Visit SiteSpecialized in AI/ML solutions, Computer Vision, and Flutter development for Android and desktop. I deliver production-ready results with measurable impact.
End-to-end pipelines: data cleaning, feature engineering, model training (classification & regression), evaluation, and optimization using Scikit-learn, PyTorch, and TensorFlow.
Image classification, object detection, and face recognition pipelines using OpenCV, PyTorch, and TensorFlow. From dataset prep to trained, deployable models.
Fine-tuning transformer models (Hugging Face) for text classification, code generation, and NLP tasks. Building systems that understand and generate human language reliably.
Beautiful, performant Android apps built with Flutter and Firebase. Clean architecture, state management, smooth animations, and REST API integration.
Cross-platform desktop applications (Windows/Linux/macOS) with Flutter. Business tools, dashboards, inventory systems, and data management solutions.
Exploratory data analysis, statistical insights, and clear dashboards using Python, Pandas, Matplotlib, and Seaborn — turning raw data into actionable decisions.
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abanoub.nassif.an@gmail.com