Mohammad Mahdi Moradi

Curriculum Vitae

8moradi3@gmail.com | Linkedin | Github

Born: April 16, 2004 (21 years old)

Updated: August 8, 2025 - View Online

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About

Detail-oriented and motivated Electrical Engineering student at Shahid Beheshti University with hands-on experience in embedded systems, Linux system administration, DevOps tools, and industrial IoT solutions. Passionate about applying AI techniques in real-world engineering problems. Constantly learning and experimenting through practical projects and collaborations.

Education

Bachelor of Engineering in Electrical Engineering
Shahid Beheshti University, Tehran, Iran
2022 - 2026 (Expected)
GPA: 18.09 / 20

Experience

Software Developer — Shahab, Niroo Research Institute

Dec 2024 - Present

Customized Grafana from source code
Collected and stored power meters data in InfluxDB for time-series analysis
Refactored and containerized the entire infrastructure using Docker

Hardware Designer — Shahab, Niroo Research Institute

Mar 2024 - Jul 2024

Designed ESP8266-based monitoring devices using MQTT
Integrated sensors with ThingsBoard IoT platform

GPU Server Sysadmin — Faculty of Electrical Engineering, Shahid Beheshti University

2024 - Present

Supervisor: Dr. Gharavian
Responsible for maintaining a GPU server for academic research, including JupyterLab environments with Keras and TensorFlow

Sysadmin (BigBlueButton) — Alborz School, Abyek, Qazvin

2020

Deployed and maintained an online classroom system during COVID-19 lockdown using BigBlueButton

Technical Skills

Programming Languages

Python, C, C++
HTML, JS, CSS (basic)

Frameworks & Tools

FastAPI (Python backend)
Keras, TensorFlow, OpenCV (basic)
Qt (C++ GUI)
ThingsBoard (IoT platform)
WordPress (CMS)

DevOps & System Administration

Linux, shell scripting
Docker, Docker Compose
Grafana, InfluxDB
GPU server configuration & maintenance
Git, Vim, Tmux

Embedded Systems & Electronics

ESP8266, Microchip PIC18
Arduino, MQTT protocol
Altium Designer, ModelSim
Power Electronics design

Certifications

LPIC-1 500 - Jadi
Machine Learning Specialization - Coursera (Andrew Ng)
- Supervised Machine Learning: Regression and Classification
- Advanced Learning Algorithms
- Unsupervised Learning, Recommenders, Reinforcement Learning
- Verify Certificate
AI For Everyone - Coursera (Andrew Ng)
Verify Certificate

Interests

Application of artificial intelligence in electrical engineering
DevOps & automation
Real-time data monitoring systems
Embedded Linux systems