About Me
Hello There!
Hi, I'm Eyal! I'm from Kfar Vradim in northern Israel. I have both a Bachelor's and a Master's degree in Electrical Engineering, with a focus on Signal Processing and AI Research. I also run a company that teaches academic courses. Currently, I'm serving in the IDF. In my free time, I love hiking, playing tennis, and skiing.
EDUCATION
High School
Amirim - 2017 - 2020
I graduated from high school with honors, specializing in physics and computer science.
Bachelors Degree - Electrical Engineering
Ben-Gurion University - 2020 - 2024
I completed my Bachelor's degree in Electrical Engineering with a GPA of 93.5, earning four Dean's List awards. My specializations were in communications and hardware.
Master - Electrical Engineering
Ben-Gurion University - 2023 - 2024
I completed a specialized one-year Master's program under the guidance of Professor Haim Permuter. My research focused on machine learning and information theory, specifically on time series prediction, and I graduated with a GPA of 98.
WORK EXPERIENCE
Junior Developer
Geosoft Systems Ltd - 2021 - 2022
Worked on Trans-Project, a software that translates a database containing application keywords to a variety of languages using Python, SQL integration, and Google API.
Teaching Assistant
Ben Gurion University - 2021 - 2025
I have served as a Teaching Assistant for several courses in the Electrical Engineering and Mathematics departments, including Calculus, Fourier Analysis, Electrical Circuits, and Digital Systems.
CEO & Full Stack Developer
ealuni.com - 2022 - current
I founded my own teaching company and created a website that connects teachers and students for online academic courses.
ML Engineer
Binatix - 2023 - 2024
As a master student, worked on stock market prediction using Machine Learning techniques, developing advanced algorithms for market analysis and forecasting.
CEO & Full Stack Developer
Hitkabalti - 2024 - current
Co-founded a company that helps students find what and where to study, providing comprehensive guidance and resources for academic decisions.
ML Engineer
Crao Magic - 2025 - 2026
As a master student, worked on radio cognitive systems using ML for throughput maximization in modems, developing innovative solutions for communication optimization.
Unknown
Israel Defense Forces - 2025 - current
I serve in the IDF.
Technical Skills
Web Development
Cloud & Backend Infrastructure
Artificial Intelligence & Machine Learning
RUNNING COMPANIES
Ealuni
VisitEaluni is a course-selling platform designed to help students excel in Electrical Engineering, Computer Science, Mathematics, and Physics. It provides theoretical lessons, exam analyses, exercise solutions, and personalized tutoring to ensure academic success. Built with scalable technologies Ealuni ensures secure transactions, smooth user experience, and a powerful backend.
Hitkabalti
VisitA comprehensive platform helping students navigate their path to higher education in Israel. We provide personalized recommendations, detailed program information, and advanced tools for calculating acceptance chances.
ACADEMIC PAPERS
Published Papers & Research Projects I Contributed To
Mar. 15th 2024
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation
Authors: Eyal Yakir, Dor Tsur, Haim Permuter
This research introduces FTA-Net, a novel time series forecasting model leveraging frequency aggregation and hyper-complex models to enhance prediction accuracy and efficiency.
Jun. 10th 2024
Drone Detection Using DopplerNet Range-Doppler Radar
Authors: Eyal Yakir
This research presents an advanced drone detection approach using small, cost-effective radars, achieving over 98% accuracy. By leveraging Range-Doppler radar data and machine learning, the study provides an efficient solution to detect and differentiate drones from other objects. This work is essential for security and regulatory compliance.
PROJECTS FOR FUN
Penalty Kick Trainer
DocumentationThe Penalty Kick Trainer is a computer vision-based football training system that simulates real-time penalty kicks. Using image processing and AI, the system tracks ball movement, shot speed, and goalkeeper reactions to enhance training effectiveness. The setup includes two cameras, a projector displaying the goal, and real-time tracking algorithms to analyze shots and simulate goalkeeping responses.