class MohamedWassim:
def __init__(self):
self.role = "Industry 4.0 Engineer & AI / Computer Vision Developer"
self.education = "M.Eng. Industrial Engineering — Industry 4.0 @ ENIM"
self.foundation = "Full-Stack Software Engineering (ISET Bizerte)"
self.focus = ["AI / Machine Learning", "Computer Vision", "Industrial IoT", "Digital Twins"]
self.mission = "Bridging bits with atoms — where software meets the factory floor"
self.seeking = "6-month PFE internship (early 2027) in industrial AI & vision"
def current_work(self):
return "Data-driven optimization & intelligent vision for smart manufacturing"🏅 Ranked 2nd of my Master's cohort (Year 1, Industry 4.0 @ ENIM)
I started in software engineering (coding, algorithms, databases) and moved into Industry 4.0, where that foundation became my edge: I build the AI, computer-vision, and IoT systems that turn physical factories into intelligent, data-driven ones.
| Area | What I Build |
|---|---|
| 🔍 Computer Vision for Industry | Camera-based object detection & quality inspection (thresholding, segmentation, detection algorithms) |
| 🤖 Industrial AI / ML | Neural networks & genetic algorithms applied to manufacturing & optimization |
| 🌐 Industrial IoT | ESP32 / embedded systems linking machines (motors, sensors, displays) to digital platforms |
| 🏗️ Digital Twins | Virtual factories in Unity to simulate and visualize production systems |
| 📊 Industrial Analytics | Power BI dashboards turning manufacturing data into decisions |
| ♻️ Sustainable Manufacturing | Life-cycle analysis (SimaPro) & carbon-footprint tooling |
|
🔍 Camera-Based Object Detection
|
🏗️ Virtual Factory — Digital Twin
|
|
🌱 Agri-Land AI Marketplace (DATADOIT)
|
🌐 IoT Connected System
|
🎓 Master's Thesis — Data-driven optimization & vision in smart manufacturing • 🔭 Targeting — 6-month PFE internship (early 2027) in industrial AI & computer vision • 🌱 Learning — Advanced manufacturing systems & deep learning for vision
🌍 Languages: Arabic (Native) · French (Professional) · English (Professional)