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@shaielc
Last active April 17, 2024 09:22
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{
"basics": {
"name": "Shy-El Cohen",
"label": "Algorithm Developer",
"image": "https://i.imgur.com/By8N2nK.jpg",
"email": "shyelshmuel@gmail.com",
"phone": "0544910932",
"summary": "**Autodidactic** electrical engineer with 6+ years of experience in algorithm development, with **full system responsibilities**. With diverse skillset including Digital Signal Processing, Mathematical programming, Cloud Computing, and Software Development. Looking forward to working on DSP and ML algorithms.",
"location": {
},
"profiles": [
{
"network": "Linkedin",
"username": "Shy-El Cohen",
"url": "https://www.linkedin.com/in/shy-el-cohen-a8b1763a/?lipi=urn%3Ali%3Apage%3Ad_flagship3_resumebuilder%3BiqEfkjkJTFqIgPnhf1mUIA%3D%3D"
}
]
},
"work": [
{
"name": "Apolloshield",
"location": "Tel-Aviv",
"description": "Counter-Drone",
"position": "Signal Processing Engineer",
"url": "https://www.apolloshield.com/",
"startDate": "2022-10-18",
"summary": "**Apolloshield | Counter-Drone-Systems** </br> Signal processing engineer. **Researching** algorithms for drone detection and geolocating, **Implementing** the algorithm for a real-time system.",
"highlights": [
"**Researched** detection and identification algorithms, and AOA estimation system. Using data-driven decisions and field experimentation.",
"**Implemented** algorithms in **C++**, to a real-time embedded system, using frameworks such as **FFTW** and **GNU-radio**. ",
"**Optimized** runtime performance using various techniques: Finding efficient algorithms, optimizing hardware usage, and parallelization using **SIMD intrinsics** "
]
},
{
"name": "IDF",
"location": "Israel",
"description": "Millitary Industry",
"position": "Algorithm Developer",
"url": "",
"startDate": "2018-02-04",
"endDate": "2022-10-04",
"summary": "**IDF | Algorithm Developer | Spectrum and Cyber Security Unit**</br> Algorithm developer in a new department of the IDF. **Researching**, **developing**, and **deploying** signal-based algorithms and cloud-based automatic processing systems.",
"highlights": [
"**Researched** various detection, classification, and estimation DSP algorithms using python using well-known tools such as **NumPy, SciPy, Pandas, and Scikit-Learn**.",
"**Pioneered** the automation of large-scale spectral data analysis, as one of the first members of a brand new department. Using **MATLAB, Postgresql, React, and ASP.NET** to demonstrate the value of such a system.",
"**Developed** using a multitude of technologies such as **Openshift, Redis, and Flask** a system for data gathering and analysis. Enabling the continuous deployment and integration of algorithms with data from the field.",
"[**Outstanding Soldier Scholarship**](https://www.linkedin.com/in/shy-el-cohen-algorithm-developer/overlay/1635499691934/single-media-viewer/) - Awarded 2019-01-14"
]
}
],
"education": [
{
"institution": "Ben Gurion University",
"url": "",
"area": "Electrical Engineering - Signal Processing",
"studyType": "Graduate",
"startDate": "2024",
"score": "",
"courses": [
"[Deep Learning Project](https://github.com/ArielFix/DLINtroProject)",
"[Hyperspectral Clustering and Detection Project](https://github.com/shaielc/single-linkage/tree/master)"
]
},
{
"institution": "Jerusalem College of Technology",
"url": "",
"area": "Electrical Engineering",
"studyType": "Bachelor",
"startDate": "2012",
"score": "",
"courses": [
"Started taking courses in 9th grade (2012), finishing most of the required courses by the end of high school, initiating a track for combining B.Sc. in electrical engineering and high school studies."
],
"endDate": "2018"
}
],
"skills": [
{
"name": "Mathematical Programming",
"level": "",
"keywords": [
"**FFTW**",
"**Numpy**",
"**Matplotlib**",
"**Scipy**",
"Pandas",
"Matlab"
]
},
{
"name": "Development",
"level": "",
"keywords": [
"**Python**",
"**Flask**",
"**C++**",
"React",
"Express",
"ASP.Net",
"SQL",
"JS/TS",
"Docker",
"Kubernetes/Openshift"
]
},
{
"name": "Algorithm Research",
"level": "",
"keywords": [
"**Digital Signal Processing**",
"Performance Analysis",
"Optimization"
]
},
{
"name": "Machine Learning",
"level": "",
"keywords": [
"Keras",
"Torch",
"scikit-learn",
"huggingface"
]
}
],
"languages": [
{
"language": "Hebrew",
"fluency": "Native"
},
{
"language": "English",
"fluency": "Highly Proficient, Conversational"
}
],
"references": []
}
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