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Always building new stuff, learning ML
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Always building new stuff, learning ML

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ChedyKorbi/README.md

Chedy Korbi

Embeded systems & mobile undergraduate @ISETCHARGUIA / Big data & AI student @PolytechINTL

📍 La Marsa, Tunis · 🌍 Open to international opportunities
📧 chedykorbi2021@gmail.com · 🔗 LinkedIn https://www.linkedin.com/in/chedy-korbi-2463a9250/


About

I’m an early-career software engineer building my way into AI, machine learning, and data-driven systems, with a strong foundation in systems engineering, IoT, and full-stack web & mobile development.

My background spans real-world internships and freelance projects where I designed and delivered production-oriented platforms — from IoT ecosystems and secure traceability systems to ML-assisted mobile applications and scalable backend services. I’m particularly interested in end-to-end ML systems, where data engineering, model design, deployment, and system constraints matter as much as the algorithms themselves.

Currently pursuing an Engineering Degree (Cycle Ingénieur) in Big Data & Artificial Intelligence, I focus on building practical AI systems that are explainable, scalable, and grounded in real product needs.


Focus Areas

  • Applied Machine Learning & Data Engineering
  • End-to-End ML Pipelines (data → model → deployment)
  • AI-assisted decision systems & explainable scoring models
  • IoT, Edge Intelligence & real-time data pipelines
  • Backend & system design for production environments

Selected Work

🔹 Intelligent Product Report Generator — AI Capstone (Samsung Innovation Campus, 94%)

End-to-end AI system combining computer vision, NLP, and offline summarization pipelines to generate unified product intelligence reports from images and customer reviews.

🔹 Atasmiya Tracker — Freelance

Full-stack web & mobile platform for halal traceability and certification, featuring QR-based verification, compliance-driven workflows, audit logs, and multi-role user flows (admin, manager, consumer).

🔹 SCIO — Freelance

ML-assisted nutrition and product evaluation app using feature engineering, calibrated thresholds, and explainable scoring to deliver clear, science-based product assessments.

🔹 PawTracker — IoT & Mobile Internship

Smart pet-care ecosystem integrating embedded systems, real-time sensor data, backend services, and mobile/web applications for health and activity monitoring.


Technical Stack

AI / ML & Data
Python · TensorFlow · PyTorch · scikit-learn · Feature Engineering · Model Evaluation

Backend & Systems
Spring Boot · Flask · FastAPI · REST APIs · MySQL · NoSQL · Security (JWT, OAuth)

Frontend & Mobile
Next.js · Flutter · Android (Java) · Web & Mobile Architecture

IoT & Embedded
ESP32 · C/C++ · Real-time data pipelines · Edge-oriented systems


What I Care About

I’m less interested in buzzwords and more interested in how systems actually work in production — data quality, trade-offs, explainability, scalability, and long-term maintainability.

I use GitHub to document:

  • Applied ML experiments
  • System architectures
  • End-to-end projects
  • Learning paths toward production-ready AI systems

Get in Touch

If you’re working on AI, data-driven products, or intelligent systems, or just want to exchange ideas — feel free to reach out.

📧 chedykorbi2021@gmail.com
🔗 LinkedIn

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