I’m Ali Awdeh, a Computer and Communication Engineer with a strong focus on backend development, AI/ML, and scalable systems. I enjoy building practical, reliable technology that solves real-world problems while staying clean and maintainable under the hood.
Over the past few years, I’ve worked on projects ranging from AI-powered prediction models and Spring Boot POS systems to cloud-native deployments and home-lab setups. I like tackling challenging problems — whether it’s optimizing APIs, designing secure architectures, or developing intelligent data-driven features.
My approach combines hands-on engineering with a clear understanding of the product and business side, which helps me build solutions that aren’t just functional, but impactful and future-proof.
Some highlights of my journey:
2 patents and 9 international innovation medals, including a Gold Medal at the Geneva International Exhibition.
Active member of IFIA (International Federation of Inventors’ Associations).
Experience across product engineering, backend engineering, AI/ML modeling, and system architecture.
I’m currently looking for opportunities where I can contribute to building robust, scalable systems, collaborate with great teams, and continue growing as an engineer while making a meaningful impact.
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A machine learning project built in Python that predicts future stock prices using deep learning models.
I developed a data pipeline that collects and preprocesses historical market data using Pandas and NumPy, then trains and evaluates LSTM and GRU neural networks with TensorFlow/Keras.
Key features:
Normalized time-series input with sliding window sequences
Comparison between LSTM and GRU performance
Evaluation using RMSE and MAE metrics
Visualizations generated using Matplotlib for trend analysis
The project showcases how neural networks can model temporal dependencies in financial data for intelligent forecasting.
More on: https://www.twine.net/signin
SmartPOS is a complete backend system for retail and small business management built using Java 17 and Spring Boot.
The platform supports full CRUD operations, JWT authentication, and role-based access control for secure multi-user environments.
Main features include:
Purchase tracking with automated total and profit calculations
Inventory management with real-time stock alerts
User-specific transaction history and monthly profit reports
REST APIs designed with MVC architecture and MySQL integration
Designed for performance, security, and clarity — this project demonstrates my skills in enterprise-grade backend development and API design.
Witness is a blockchain-based platform I designed and built to help creators protect and monetize their digital content using AI verification.
The system integrates a Node.js backend, TypeORM + MySQL database, and an AI pipeline that identifies ownership through semantic similarity and embedded watermarking.
Witness combines the transparency of distributed ledgers with the intelligence of modern LLMs, allowing users to:
Register their works (text, media, code, etc.)
Prove authorship via AI similarity checks
Track reuse and visibility across the web
Manage monetization using smart contracts
The project has been recognized internationally and is part of my ongoing R&D in ethical AI and digital rights management.
More on https://www.twine.net/signin
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