CV

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Contact Information

Name Alireza Dehghanzadeh
Professional Title Machine Learning · Embedded Systems · Computer Vision
Email dehghanzadeh98@gmail.com

Professional Summary

Resourceful engineer who enjoys coding, exploration, and solving real-world problems through creative, practical thinking. Especially interested in applied research and development, using machine learning, computer vision, and software tools to turn technical ideas into reliable, deployable solutions. Holds an M.Sc. from the University of Tehran with a thesis on machine learning for computational imaging — refinement of reconstructions of ECT, an ill-posed inverse problem. Also experienced in co-developing a real-time computer vision system deployed into industrial operation on embedded Linux, and currently building deep-learning pipelines for crack detection in surface imagery.

Experience

  • 2024/06 - 2026/04

    Karaj, Iran

    IT Support Specialist
    University of Tehran, Central Library, College of Agriculture and Natural Resources
    Amrieh — Iran’s mandatory alternative to military service
    • Built a semi-automated data-entry system in Google Apps Script, reducing manual paperwork for library staff.
    • Provided IT and network support, and delivered training in common software tools and basic computer literacy to staff and students.
  • 2019/03 - 2021/04

    Tabriz, Iran

    Undergraduate Research Assistant, Precision Agriculture Lab
    Tabriz University, Precision Agriculture group
    Volunteer position, dept. of Biosystems Engineering, supervised by Prof. Hossein Navid and Prof. Hadi Karimi .
    (continued part-time remotely after Sep 2020)
    • Co-developed a real-time computer vision system for automated pipe cutting by identifying flat surface regions, deployed in industrial operation and integrated with high-speed machinery.
    • Designed and integrated the hardware and electronic circuits for the real-time vision system, including Raspberry Pi interfacing.
    • Configured the Raspberry Pi deployment end-to-end, setting up the Linux environment, Python dependencies, and GPIO pin control for hardware communication.
    • Collaborated on a wireless remote-control system for a silage-block-cutting machine to improve operator safety.
    • Responsible for electronic circuit design and integration with pneumatic and hydraulic valve systems for precise actuation.
    • Developed the Arduino-based control firmware and hardware-side logic for executing TCP/UDP commands.

Education

  • 2020/10 - 2023/10

    Tehran, Iran

    Master's degree
    University of Tehran
    Biosystems Engineering
    • Grade: 16.70/20
    • Highlighted Courses: Artificial Intelligence, Finite Element Analysis, Advanced Control Systems
    • Thesis: Machine Learning–Based Image Reconstruction Refinement in Electrical Capacitance Tomography, an ill-posed inverse problem.
    • Supervisor: Dr. Hossein Mousazadeh
    • Co-supervisors: Dr. Soleiman Hosseinpour and Dr. Hadi Karimi
    • Proposed and developed within a Port & Maritime Organization–funded ECT pipeline-monitoring project.
    • Across separate best-performing configurations, test-set R² reached 0.87 and test-set RMSE was as low as 0.147.
  • 2016/09 - 2020/09

    Tabriz, Iran

    Bachelor's degree
    Tabriz University
    Biosystems Engineering
    • Grade: 15.11/20
    • Ranking: Ranked 9th in a cohort of 36 students.
    • Collaborated on the design and structural analysis of a scissor jack using SolidWorks and Ansys, achieving the highest score in the Mechanical Engineering Design course; following this success, the instructor suggested tackling a real-world problem, leading the team to develop a basil-harvesting machine concept for small-plot farms.

Skills

Python Programming (Advanced): PyTorch, Kivy, Scikit-learn, Pandas, NumPy, Flask, Jupyter
Machine Learning (Intermediate): Supervised Learning, Cross-Validation, Feature Engineering, Deep Learning
Linux & Systems (Intermediate): Linux, Git, GitHub Actions (CI/CD), Docker
Hardware & Embedded (Intermediate): Raspberry Pi, Arduino, Electrical Circuit Design

Languages

Persian : Native speaker
English : Fluent
Azerbaijani : Limited

Interests

Machine Learning & Computational Imaging: Deep Learning, Image Reconstruction, Predictive Modeling
Computer Vision & Industrial Inspection: Real-time Vision, Surface Analysis, Quality Control
Embedded Systems & Automation: Raspberry Pi, Arduino, Hardware Integration, IoT

Certificates

Projects

  • 2026/07 - present
    Deep Learning for Surface Crack Segmentation

    Independent project developing a PyTorch-based pipeline for detecting cracks in concrete-surface images.

    • Developing a PyTorch-based pipeline for detecting cracks in concrete-surface images.
    • Using the Kaggle Surface Crack Detection dataset to build foundational computer-vision and deep-learning skills, with plans to extend the work toward pixel-level segmentation.
    • Skills: PyTorch, Computer Vision, Deep Learning
  • 2025/12 - present
    Shrimp Aquaculture Data-Entry App

    CS50x Final Project; first release of a broader aquaculture-management system. A Python/Kivy mobile application for recording shrimp-farming data and storing records locally in SQLite.

    • Completed a Python/Kivy mobile application for recording shrimp-farming data and storing records locally in SQLite.
    • Implemented a Persian interface with RTL support and automated Android APK builds through GitHub Actions.
    • Skills: Python, Kivy, SQLite, GitHub Actions