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  • institute of electrical and electronics engineering

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Hello, I'm pedrooo๐Ÿ‘‹

I am a Master of Science in Computer Engineering student at the Institute of Electrical and Electronic Engineering (IGEE). I am a Systems Engineer dedicated to bridging the gap between Artificial Intelligence, Embedded Firmware, and Industrial Automation. My expertise spans from high-level Machine Learning models to hands-on industrial robotics and automotive electronics.




+50 Certifications ( +35 international certification)



๐Ÿ›ก๏ธ Professional Experience & Industrial Impact

CNC & Robotics Systems Operator | Industrial Fabrication Field (2023 โ€“ 2024)

  • Digital Manufacturing: Managed the end-to-end CAD/CAM pipeline, designing complex vectors in CorelDRAW and generating optimized G-code via SheetCam.
  • Automated Production: Programmed and operated CNC Plasma cutting and robotic engraving systems.
  • Hardware Integrity: Applied Manual Metal Arc Welding (MMAW) and structural assembly techniques to ensure mechanical durability in robotic frames.

Automotive Electronic & Diagnostic Technician | Certified Specialist (2024 โ€“ Present)

  • ECU Architecture: Performing advanced diagnostics on automotive Electronic Control Units (ECUs) and sensor networks using professional-grade scanners.
  • Embedded Troubleshooting: Diagnosing and repairing intricate electrical-mechanical failures in modern vehicular systems.

๐Ÿ“ก Telecommunications & Fiber Optics Field Internship

Entity: Algรฉrie Tรฉlรฉcom | Duration: March 2026 โ€“ April 2026 | Location: Medea, Algeria

  • FTTH & GPON Architecture: Explored the deployment of Fiber-to-the-Home technology and the integration of Gigabit Passive Optical Networks.
  • Network Infrastructure: Gained hands-on insight into Optical Distribution Frames (ODF), patch panel organization, and high-density rack management.
  • Physical Layer Maintenance: Observed professional standards in fiber optic splicing, cable management, and signal routing within central office environments.
  • System Reliability: Studied the redundant power systems and cooling infrastructures required to maintain 24/7 network uptime.

๐Ÿ—๏ธ Manual Metal Arc Welding (MMAW) Specialist

Field: Industrial Fabrication | Duration: 2023 โ€“ Present | Location: Medea, Ksar El Boukhari

  • Hardware Integrity: Expert application of Manual Metal Arc Welding (MMAW) and structural assembly techniques to ensure mechanical durability.
  • Technical Design: Proficient in Technical Drawing Interpretation, translating complex blueprints into physical structural components.
  • Structural Assembly: Managing the fit-up and alignment of heavy-duty industrial frames and mechanical parts.

๐Ÿ› ๏ธ Technical Stack & Certifications

๐Ÿ› ๏ธ Technical Stack & Certifications

Languages & Systems
C C++ Python MATLAB VHDL Assembly HTML5 CSS3 Linux Windows

Artificial Intelligence

  • Core Domains: Machine Learning, Deep Learning, Computer Vision, Data Analysis.

Industrial Automation & Embedded Systems

  • Automation: Siemens PLC (S7-1200), TIA Portal, HMI Programming.
  • Embedded Platforms: Arduino, ESP32, FPGA.

Software, Systems & Networking

  • Web Development: HTML/CSS.
  • Operating Systems: Linux (Ubuntu), Windows.
  • Networking: Computer Networking (CCNA).

Engineering & Design

  • Simulation & Analysis: MATLAB & Simulink.
  • Hardware & CAD: SolidWorks, AutoCAD, AutoDesk, CorelDRAW, SheetCAM, KiCad.

Mechanical, Fabrication & Manufacturing

  • Fabrication & Operations: Manual Metal Arc Welding (MMAW), CNC Plasma Cutting & Operations, CAD/CAM Design.

Automotive Troubleshooting

  • Diagnostics: Electrical & Mechanical Diagnostics.

Productivity Tools

  • Office Suite: Microsoft Excel, Microsoft Word, Microsoft PowerPoint.

๐Ÿ“‚ Featured Engineering Portfolio

  • Architecture: 4WD platform featuring Bluetooth Teleoperation, Ultrasonic Obstacle Avoidance, and IR-based Line Tracking.
  • Logic: Implemented a priority-based logic engine to switch between manual and autonomous modes.
  • Security: Engineered an automated locking mechanism using MFRC522 RFID modules and UID Hash Authentication.
  • Hardware: Integrated servo actuators and audio-visual feedback systems for real-time status monitoring.
  • Research: Developed a predictive model achieving 92% Accuracy (Rยฒ = 0.920) using Linear Regression and advanced Data Preprocessing.
  • Impact: Identified neighborhood income and property age as primary determinants for real estate valuation.
  • Design: Complete lifecycle of a power electronics project from theoretical simulation to PCB Implementation with R-L Load.

Modeling: Computational framework for infectious disease dynamics utilizing Differential Equations to track Susceptible, Infected, and Recovered populations.

Analysis: Implemented numerical simulations and Vaccination Strategy Evaluation to assess parameter sensitivity and public health impact.

๐Ÿ“Š Engineering Statistics

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๐Ÿ“ซ Let's Connect

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