For fintech
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Hard working and self-driven, creative and quick to learn. Multidiciplinary with a diverse
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technical background. Father of two!
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\section{Education}
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\subsection{BSc,MSc Ben Guryon University\hfill 2019-present}
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\begin{itemize}
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\item Thesis subject: Rate-Aware Supervised Optimization Using Probabalistic Loss
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\item Researched mitigation of vanishing-gradient using snake activation as part of Dkalim
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\item Multiple courses including Convex Optimization, Language Processing, Multiple DL courses
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\end{itemize}
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\section{Work Experience}
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\subsection{Algorithm Team R\&D @ Applied Materials\hfill 2022-present}
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\begin{itemize}
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\item Researched and implemented ML systems and algorithms for classification and filtration.
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\item Researched and implemented ML systems and algorithms for rare-case classification.
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\item Ownership of entire process from data acquisition to post-runtime analysis.
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\item Used both Deep-Learning and classical algorithms with real-time considerations.
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\item Full ownership for research, development, testing and deployment, including design and delegation.
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\item Research statistical models to detect drift, and rare-case identification and classification.
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\end{itemize}
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\subsection{Protocol Security R\&D @ Gita Technologies\hfill 2018-2022}
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\begin{itemize}
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\item Designed and developed realtime systems for protocol analysis.
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\item Researched Wifi and Bluetooth protocols for protocol-based weaknesses.
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\item Trained models to cross-correlate targets across networks
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\item Researched DL methods to correlate trends across networks.
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\end{itemize}
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\subsection{Systems Engineer R\&D @ Intelligence Corps (8200) IDF\hfill 2013-2018}
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@@ -96,11 +88,19 @@ technical background. Father of two!
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\item Recognized for technical excellence as well as general excellence.
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\end{itemize}
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\section{Education}
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\subsection{BSc,MSc Ben Guryon University\hfill 2019-present}
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\begin{itemize}
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\item Thesis subject: Rate-Aware Supervised Optimization Using Probabalistic Loss
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\item Researched mitigation of vanishing-gradient using snake activation as part of Dkalim
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\item Multiple courses including Convex Optimization, Language Processing, Multiple DL courses
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\end{itemize}
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\begin{minipage}[t]{0.45\linewidth}
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\section{Skills}
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\subsubsection{Machine Learning Domains}
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\noindent \small Anomaly Detection, Unsupervised, DL, Class Imbalance, Tabular Data, Computer Vision
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\subsubsection{Tools}
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\noindent \small Statistical Analysis, DL, Anomaly Detection, Unsupervised, Class Imbalance, Computer Vision, Mult-Source Data
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\subsubsection{Technical Tools}
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\noindent \small Linux, GIT, PyTorch, Scipy, Numpy, LaTeX, Pandas, Kubernetes, Docker, NIX
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\subsubsection{Other}
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\noindent \small System Design \& Architecture, Project Management, Presentation, Training.
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