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@cox.net
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2 phones found area 520
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Michael Toth is listed as Machine Learning Engineer at Rebellion Defense, based in Greater Tucson Area, United States, United States. AeroLeads shows a work email signal at cox.net, phone signal with area code 520, and a matched LinkedIn profile for Michael Toth.
Michael Toth previously worked as Applied Research Engineer at Rebellion Defense and Senior Software Engineer, Mission Simulation at Rebellion Defense. Michael Toth holds Bachelor Of Science (Bs), Electrical And Electronics Engineering from University Of Michigan.
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AeroLeads found 1 current-domain work email signal for Michael Toth. Compare company email patterns before reaching out.
I specialize in software and algorithm development, simulation design, statistical modeling, and data analysis.
Listed skills include Statistics, Data Mining, Data Analysis, Simulations, and 15 others.
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A career timeline built from the work history available for this profile.
Washington, District Of Columbia, US
-Designed novel geospatial anomaly detection and trajectory prediction machine learning algorithms-Implemented predictive Bayesian hierarchical models in Pyro-Implemented vehicle and gun detection algorithms using computer vision models within PyTorch architecture-Created semi-supervised learning workflows to reduce model deployment time and user labeling.
Washington, District Of Columbia, US
-Created radar algorithms in simulation, spanning from literature review to software implementation-Collaborated with adjacent teams to aid in simulation scalability and debugging-Designed simulation models to emulate environmental effects, such as atmosphere, clutter, weather, and target scintillation-Implemented statistical models of sensor effects and.
Washington, District Of Columbia, US
-Matured software prototypes of radar phenomenology for simulation product-Developed RF software libraries utilized by other teams-Participated in product demos and technical deep dives with customers
Arlington, VA, US
-Responsible for the design, testing, and implementation RF signal processing algorithms-Aided in the creation and implementation of statistical models in support of RF sensor simulation-Developed and maintained flight software and software simulation environment-Created telemetry data analysis software tools-Performed data analysis of flight test telemetry
Washington, DC, US
-Aided chief departmental engineer in developing statistical models to more accurately model Navy weapon systems reliability, and optimize PL/SQL code to reduce calculation times on Navy performance metrics website-Managed contracted software developers to modernize Navy performance metrics website, and streamline business processes-Interfaced with various.
Amsterdam, Noord-Holland, NL
-Interfaced with customers, engineers, Marketing, Project Managers, and Account Managers to design technical training guides for X-Ray medical device installations, such as posters, video animations, brochures, and presentations used in customer meetings-Utilized Smartsketch and AutoCAD software to create plan views of equipment layouts for X-Ray and MRI.
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Michael Toth works for Rebellion Defense.
Michael Toth is listed as Machine Learning Engineer at Rebellion Defense.
AeroLeads has found 1 work email signal at @cox.net for Michael Toth at Rebellion Defense.
AeroLeads has found 2 phone signal(s) with area code 520 for Michael Toth at Rebellion Defense.
Michael Toth is based in Greater Tucson Area, United States, United States while working with Rebellion Defense.
Michael Toth has worked for Rebellion Defense, Raytheon Missiles & Defense, Naval Surface Warfare Center, and Philips Healthcare.
You can use AeroLeads to view verified contact signals for Michael Toth at Rebellion Defense, including work email, phone, and LinkedIn data when available.
Michael Toth holds Bachelor Of Science (Bs), Electrical And Electronics Engineering from University Of Michigan.
Michael Toth is listed with skills including Statistics, Data Mining, Data Analysis, Simulations, Analytics, Reliability Engineering, Machine Learning, and Data Science.
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