Michael Toth Email & Phone Number

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 workload -Designed data wrangling and ETL processes for image processing, geospatial data structures, and automated XML verification

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 noise-Created design of experiments in simulation to optimize tracking algorithm parameters

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 levels of departmental personnel and developers in reporting, tracking, and enforcing bug resolution-Created algorithms for predictive point estimates of weapon system reliability from time series data in PL/SQL-Utilization of machine learning techniques to automate evaluation of Navy maintenance data.-Participated in studies that utilized stochastic process (Markov and Monte Carlo simulation) methods to create reliability, maintainability, and availability metrics-Maintained Navy cost, part, maintenance, and reliability databases-Engaged in research on methods of evaluation of predictive reliability of highly complex Navy systems.-Performed failure root cause analysis of Navy systems through maintenance and failure data, and authored studies providing recommendations for cost savings and reliability improvements

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 medical device multi-platform environment-Collaborated with other team members to create and maintain multi-media training guides, technical documentation, and project installation/maintenance guides-Interpreted technical documents to create 3D renderings of customer installation sites using AutoCAD, Microstation, Modo, and 3D Studio Max software-Conducted internal review of various 3D rendering software platforms in an effort to increase department efficiency and presented findings to management-Led initiative of making software workflow best practices recommendations to management, reducing average project turnaround time by 80%-Designed and created sales brochure used as a nationwide standard sales document by Philips Account Managers

Bachelor Of Science (Bs), Electrical And Electronics Engineering

No Degree, Applied Statistics

Master Of Science (Ms), Electrical And Electronics Engineering

Master Of Science - Ms, Electrical And Electronics Engineering

Master Of Science - Ms, Electrical And Electronics Engineering