CV

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Contact Information

Name Alireza Dehghanzadeh
Professional Title Machine Learning · Embedded Systems · Computer Vision
Email dehghanzadeh98@gmail.com
Website https://alirezad.ir

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. in Biosystems Engineering from the University of Tehran with a thesis on machine learning for computational imaging — building MLP-based refinements of Electrical Capacitance Tomography (ECT) reconstructions. Experienced in developing hardware and computer-vision prototypes on Raspberry Pi and Arduino, and building cross-platform Python/Kivy applications.

Experience

  • 2024/06 - 2026/04

    Tehran, Iran

    IT Support Specialist
    University of Tehran, Central Library, College of Agriculture and Natural Resources
    • Built a Google Apps Script tool that looks up each book by ISBN in WorldCat and fills a spreadsheet with its title, author, publisher and year. Entries were then checked by hand.
    • Maintained the library website and gave IT and network support for library operations.
  • 2019/03 - 2021/04

    Tabriz, Iran

    Research Assistant - Volunteer
    Tabriz University, Precision Agriculture Lab
    Supervised by Prof. Hossein Navid and Dr. Hadi Karimi .
    (continued part-time remotely after Sep 2020)
    • Worked on a laboratory prototype that uses a camera to find flat surface regions on pipes, as a first design for automated pipe cutting. Set up and maintained the Raspberry Pi platform (Raspberry Pi OS, a Miniconda Python environment, the Pi camera) and contributed to the OpenCV image-processing code, which used classical methods.
    • Designed the hardware interface between the Raspberry Pi, its camera and the machine electronics, and maintained the hardware and software.
    • Built the control side of a phone-based remote control for a silage-block-cutting machine: Arduino firmware in C and circuits (relays, resistors, capacitors) that drive the actuators. The Arduino ran its own Wi-Fi hotspot, and the machine worked only while it was receiving commands from the phone.

Education

  • 2020/10 - 2023/10

    Tehran, Iran

    Master's degree
    University of Tehran
    Biosystems Engineering
    • Thesis: Development of a machine learning algorithm to improve image reconstruction in an electrical capacitance tomography system.
    • Built an MLP-based refinement (Python, scikit-learn) of linear back-projection (LBP) and Tikhonov ECT reconstructions on about 4,800 simulated phantoms (577-element FEM mesh, 485 imaging elements).
    • The best of about 2,800 configurations, chosen by cross-validation, reached R² = 0.906 and RMSE = 0.134 (normalised), against best R² of about 0.85 for logistic regression and gradient boosting and 0.53 for k-NN.
    • Selected Courses: Artificial Intelligence, Advanced Finite Element Method, Design and Analysis of Engineering Experiments, Computer-Aided Design (CAD), Automatic Control Systems, Advanced Instrumentation.
  • 2016/09 - 2020/09

    Tabriz, Iran

    Bachelor's degree
    Tabriz University
    Biosystems Engineering
    • Course Project: Collaborated on the CAD design and structural finite-element analysis of a scissor jack (SolidWorks, Ansys), achieving the highest project score in the course. (Machine Elements Design II project)
    • Course Project: Team concept design of a mechanical harvester for small-plot farms, as a follow-up to the scissor-jack project in the following semester. (Design of Harvesting Machinery project)
    • Selected Courses: Computer Programming, Fundamentals of Electrical Engineering I & II, Machine Elements Design, Engineering Statistics, Differential Equations, Numerical Methods, Maintenance Engineering, Post-Harvest Technology and Storage, Industrial Drawing I & II (CAD).

Skills

Python & Software (Advanced): Python, scikit-learn, OpenCV, Kivy, SQLite, Google Apps Script
Machine Learning (Intermediate): MLP, Logistic Regression, Gradient Boosting, k-NN, Cross-Validation
Linux & Systems (Intermediate): Raspberry Pi OS, Linux, Miniconda, Git, GitHub Actions (CI/CD)
Hardware, Embedded & CAD (Intermediate): Raspberry Pi, Arduino (C), Electronic Circuits, SolidWorks, Ansys (FEM)

Languages

Persian : Native speaker
English : Fluent
Azerbaijani : Limited

Interests

Machine Learning & Computational Imaging: Image Reconstruction, Inverse Problems, Predictive Modeling
Computer Vision & Prototyping: OpenCV, Surface Analysis, Automated Inspection
Embedded Systems & Automation: Raspberry Pi, Arduino, Hardware Integration, Actuator Control

Certificates

Projects

  • 2025/12 - now
    Shrimp Aquaculture Data-Entry App

    CS50x Final Project; first release of a broader aquaculture-management system.

    • Developed and released (v1.0) 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

References