Summary
Overview
Work history
Education
Skills
Websites
Certification
LANGUAGES
Projects
Awards
Timeline
Generic
MUHAMMAD ALHADDAD

MUHAMMAD ALHADDAD

Jeddah

Summary

IT Specialist with expertise in programming, AI, and data management. Experienced in systems integration, cloud solutions, and technical support, with hands-on exposure to meteorological technologies and research aircraft systems. Known for delivering practical, data-driven solutions that improve operational efficiency, reliability, and service continuity.

Overview

3
3
years of professional experience
5
5
years of post-secondary education
1
1
Certification

Work history

Cloud Seeding System Specialist

National Center for Meteorology
Jeddah
2023.07 - 2026.02
  • Designed and centralized data storage workflows for large-scale meteorological datasets, ensuring reliable management for cloud seeding operations using NAS and Cloud Storage systems.
  • Supported integration of airborne and ground-based systems, ensuring reliability of mission operations.
  • Built and automated Python dashboards & scripts for visualization, reporting, and system monitoring.
  • Contributed to development of AI-based predictive decision support system for cloud seeding.
  • Monitored and maintained cloud seeding systems ensuring operational efficiency and safety compliance.
  • Resolved technical issues promptly, enhancing overall system performance.
  • Installed new technology systems seamlessly into existing infrastructure.
  • Collaborated effectively with cross-functional teams for successful project completion.

Information Technology Engineer

Advanced Electronics Support Services Company
Jeddah
2023.05 - 2023.07
  • Assisted in deployment of new technologies and systems across organization.
  • Implemented data backup procedures, ensuring information security.

Education

Bachelor of Applied Science - Software Systems

University of Regina Canada
Canada
2018.02 - 2019.04

Bachelor of Engineering Technology - Computer & Mobile system

Auckland University of Technology New Zealand
New Zealand
2019.07 - 2022.12

Skills

  • Programming & Development
  • AI, Data Science & Analytics
  • Big Data tools
  • Meteorological Systems
  • Airborne Research Systems
  • Technical Support
  • Data Storage & Management

Certification

  • Jan–Feb 2026 | Research Aircraft Systems Training - Weather Modification International, Jeddah, KSA

Hands-on training on research aircraft instrumentation operations, pre/in/post-flight procedures, data acquisition.

  • Nov-Dec 2025 | Climate Data Visualization and Analysis using Python - NCM, Jeddah. KSA

Completed hands-on training in Python-based climate data analysis and visualization.

  • May - June 2025 | ICT Knowledge Transfer Program - Weather Modification International, Jeddah, KSA

Specialized training on cloud seeding operation systems, data handling, workflows, and integration.

  • May 2025 | Airborne Research Instrumentation Training - Weather Modification International, Fargo, USA

Hands-on training on airborne research aircraft systems, focusing on instrumentation operation, calibration, troubleshooting, and mission support.

  • Feb 2025 | Radar & NWP Verification Training - KAUST

Radar data analysis and integration in NWP model verification with case studies and validation techniques.

  • Jan 2025 | WRF Tutorial - NCAR

Hands-on training in WRF model setup, simulation, mesoscale configuration, and visualization.

  • Nov - Dec 2024 | AI Engineering Program - Saudi Digital Academy & Ironhack, Barcelona

Deep learning, NLP, and RAG systems with real-world predictive modeling projects.

  • Sep 2022 - Jan 2023 | Big Data & AI Bootcamp - Saudi Digital Academy & Coding Dojo

Developed ML models using Python and big data tools, including weather forecasting and database systems.

LANGUAGES

Arabic - Native
English - Fluent

Projects

Led the development of an AI-based predictive decision support system for cloud seeding, awarded in a national hackathon., Designed and structured large-scale NAS data workflows, ensuring secure archiving and optimized access for multiple departments., Contributed to the readiness and integration of airborne meteorological research systems, enhancing mission data collection and reliability., Designed and implemented a fully integrated Notion workspace for the Cloud Seeding Program, establishing a complete project management system.

Awards

First Place, National AI Hackathon - Recognized for developing an AI-based predictive decision support system for cloud seeding (team award)

Timeline

Cloud Seeding System Specialist

National Center for Meteorology
2023.07 - 2026.02

Information Technology Engineer

Advanced Electronics Support Services Company
2023.05 - 2023.07

Bachelor of Engineering Technology - Computer & Mobile system

Auckland University of Technology New Zealand
2019.07 - 2022.12

Bachelor of Applied Science - Software Systems

University of Regina Canada
2018.02 - 2019.04
MUHAMMAD ALHADDAD