Amirreza Cheraghi

Radio Frequency Engineer | MSc in Electrical Engineering | Electromagnetic Imaging Specialist | Computational Electromagnetics Expert | Passionate about Machine Learning | Signal Processing Enthusiast

Toronto, Ontario, Canada

About

My enduring passion for engineering is rooted in a profound interest in applying scientific discoveries to real-world challenges. This commitment led me to pursue a dedicated academic path in engineering, with a subsequent specialization in electrical engineering. As an MSc in Electrical Engineering with a specialization in RF circuit design, microwave technology, imaging and inversion algorithms, and digital signal processing, I bring a deep-seated expertise in telecommunications principles to the table. My professional journey is marked by hands-on experience in RF circuit design and rigorous testing protocols, including indoor/outdoor range and OTA tests, complemented by proficiency in lab equipment such as oscilloscopes, spectrum analyzers, and vector network analyzers. Leadership comes naturally to me, having managed and mentored teams of undergraduate students in an analog electronics lab setting. My familiarity with network administration and KAN management underscores my versatile skill set. Throughout my academic and professional journey, I have consistently prioritized the enhancement of my soft skills, recognizing their integral role in fostering success. At the Electromagnetic Imaging Lab (EIL), I honed my problem-solving acumen, attention to detail, and communicative clarity—both as a researcher and a team player. I am always eager to collaborate and contribute to innovative engineering solutions. As an electrical engineer passionate about innovation, I embrace the endless possibilities that learning programming skills brings, enabling me to fuse the power of hardware with the elegance of code to create groundbreaking solutions. Skilled in MATLAB, Python, and C++, I also excel in circuit design tools like Orcad Pspice and NI Multisim and am adept in terminal emulators like Docklight and Teraterm. My experience with machine learning models—ranging from linear to logistic regression, and from KNN to decision trees—enables me to develop and refine predictive algorithms with precision. Moreover, I have a good understanding of SQL, since It serves as a foundational skill, enabling engineers to interact seamlessly with databases, analyze complex datasets, and contribute to the development of robust, data-centric solutions.

Experience

  • Radio Frequency Engineer at DVTEST
    Nov 2024 - Present · 1 yr 8 mos

  • Audio Visual Specialist at Toronto Metropolitan University
    Jun 2024 - Nov 2024 · 6 mos

  • Electrical Engineer at Reev Tech Inc.
    Apr 2024 - Nov 2024 · 8 mos

  • Radio Frequency Engineer at Johnson Controls
    Feb 2023 - Sep 2023 · 8 mos

  • STEM Tutor at Paper
    Nov 2022 - Feb 2023 · 4 mos