Mohammad Shafiee
Computer Science Student and Machine Learning Enthusiast | Open Source Developer
Skills
Machine Learning
EDA
Deep Learning
Data Analysis
Linux
Essentials-Lpic1
Git
Python
Wireshark
SQL
Interests
Reading Papers (AI, Security)
Learning New Programming Frameworks
Certifications
Deep Learning
November 2024
FaceCup-Nextera
Network+
October 2023
CompTIA
LPIC-1
July 2023
Linux Professional Institute
Languages
English
Intermediate
Summary
A passionate Computer Science student at Shahid Bahonar University of Kerman with a strong foundation in machine learning, data analysis, and network security. Experienced in developing open-source projects like network analysis tools and Telegram bots using Python. Eager to contribute to innovative AI and cybersecurity solutions.
Profiles
Experience
Self-employed
Remote
Freelancer
March 2024 – Present
Developed various security and networking tools using Python, including Xray-Client and Log Analyzers. Contributed to open-source firewall tools and Telegram bots for student use cases.
Amirkabir University of Technology Science Park
Tehran, Iran
AI Bootcamp Instructor and Organizer
March 2025
Designed and delivered a comprehensive AI bootcamp curriculum, covering machine learning, deep learning, and data analysis using Python and scikit-learn. Organized workshops for 50+ participants, developed hands-on projects, and presented data-driven insights to evaluate participant progress.
Mahan District Office
Mahan, Iran
Python and Machine Learning Instructor
April 2025 – Present
Farhangian University
Kerman, Iran
CCNA Instructor
October 2024 – December 2024
Education
Shahid Bahonar University of Kerman
Bachelor
Computer science
Sep 22 - Peresent
Projects
Sales Profit Predictor with Interactive Dashboard
March 2025 – May 2025
Developed a Random Forest-based model to predict sales profit, achieving R² > 0.9. Engineered features using log transformations and outlier removal, and implemented a Streamlit dashboard for real-time predictions. Integrated LIME to visualize feature contributions, enhancing model transparency. Optimized preprocessing with KNN imputation and one-hot encoding, ensuring scalability and usability.
NetVision
October 2024 – May 2025
Designed and implemented a lightweight IDS/IPS system for Linux using packet inspection and Zeek scripting.
OpenGF
August 2024 – September 2024
Xray-Client
December 2024 – March 2025
Xray-Log-Analyzer
May 2024 – June 2025
UKBot
March 2024 – September 2024