Ali Abu Fadaleh
Computer Science Engineer bridging software development with operational efficiency. Currently exploring the fundamentals of AI engineering.
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Building intelligent systems that solve real problems
I am a Computer Science Engineer with a practical approach to building software. Drawing from my experience in logistics and operations, I focus on creating applications that solve real problems efficiently. I enjoy working across the stack, and I am currently expanding my toolkit by actively learning AI integration to build smarter web experiences.
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Featured Projects
A showcase of developer tools, applications, and systems engineered for performance and reliability.
IOT Heart Attack Monitor
The Heart Attack Monitor project integrates hardware sensors and a real-time web application to provide continuous heart rate monitoring. It uses a Pulse Sensor to read beats per minute (BPM), displays the data locally on an LCD screen, and securely transmits it to a Firebase Realtime Database. The web dashboard then renders this data in real-time charts, providing immediate alerts for abnormal readings.
Global Sentiment Pipeline
Developed an automated data pipeline using Python (app.py) to process and evaluate textual data. Configured secure system integrations with active Hugging Face (HF) machine learning endpoints to run advanced sentiment analysis directly through external LLM APIs.
UniPulse
Engineered a live, high-activity dashboard to replace static university directories. The platform allows students to synchronize for studying, share materials, and track events in real-time. Collaborated within a team of five students to build and deploy the PHP-based architecture, focusing on clean routing and server-side optimization.
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// technical arsenal
Tech Stack
Languages, frameworks, databases, and tools I build modern software with.
AI & Machine Learning
Frontend
Backend
DevOps & Tools
Database
Latest Repositories
LiveRecent open-source contributions fetched from GitHub.
MyPortfolio
A dynamic, premium developer portfolio engineered with Next.js (App Router), TypeScript, and Tailwind CSS. Content is modeled and managed headlessly using Sanity.io Studio, and interactive aesthetics are driven by React Three Fiber (Three.js) and Framer Motion.
Heart_Attack_Monitor
An IoT-based health monitoring system that continuously tracks a patient's heart rate in real-time, built as a final graduate project.
global-sentiment-pipeline
A lightweight Python pipeline that automatically pulls articles from public news feeds, uses the Hugging Face Serverless API for sentiment classification, and saves the structured logs directly to a MongoDB Atlas cloud cluster.
// journey
Professional Journey
A timeline of my professional roles, projects, and educational milestones.
Enterprise Systems Specialist
Shipa
Manage customer logistics inquiries and end-to-end order lifecycle tracking in a high-volume shipping environment. Use Oracle NetSuite ERP to monitor shipments, update operational records, and ensure accurate real-time data flow across logistics systems. Coordinate with operations, fulfillment, and customer service teams to support smooth workflow execution. Analyze shipment and transaction data to identify discrepancies, resolve delivery issues, and ensure data consistency across systems. Contribute to process optimization by leveraging system tools and data insights to improve operational efficiency and reduce resolution time for supply chain exceptions.
B.S. in Computer Science
Isra' University
Core specialization in software engineering, database systems architecture, and intelligent systems. Developed full-stack web applications, custom compilation tools, and integrated automated AI agents into web layers. Focused heavily on building high-performance systems and managing full product development lifecycles for academic and practical engineering challenges.
Operations Analyst & Client Support
Extensya
Executed operational quality audits, data analysis, and technical client relations within a fast-paced corporate infrastructure. Utilized advanced data analytics in Excel to identify process bottlenecks, manage performance reports, and maintain strict systemic data integrity. Translated technical issues into structured data insights to bridge communication gaps between end-users and client engineering teams.