Justin Amoyal
About
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CEO & Founder
Baltimore, Maryland, United States
Résumé
Jobs
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CEO & FounderImpruvonMay 2020 - Current (6 years 3 months)Impruvon Health is a workflow automation platform designed to enhance efficiency and minimize errors in long term care settings. Group Homes, Supported Living, Assisted Living, and Skilled Nursing Facilities are all current customers. The platform streamlines complicated, error-prone and time-consuming processes, simplifies regulatory compliance and provides role-based user-friendly apps for the nursing team, residents, and other members of the ecosystem. The platform reduces liabilities, maximizes reimbursement, and enables organizations struggling with staffing challenges to maximize their current workforce. Implemented seamlessly with no need for pharmacy, medication packaging, or EHR changes, Impruvon Health is tailored to meet the spec- Program ManagerAlytic IncApr 2019 - Dec 2021 (2 years 9 months)
- AnalystInnovative Decisions InternationalMar 2016 - Apr 2019 (3 years 2 months)
- Innovation Leader & Systems EngineerLockheed MartinJun 2014 - Mar 2016 (1 year 10 months)
- InternAcadia SoftwareJun 2013 - Sep 2013 (4 months)
Education
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- Bachelor of Applied Science - BASc, Systems Engineering, Systems EngineeringGEORGE MASON UNIVERSITYJan 2011 - Dec 2015 (5 years)
Projects (professional or personal)
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- IImage Analysis Software - Senior Design ProjectDec 2014 - Jan 2015 (2 months)Developed a Java desktop application to allow for importing, exporting, and analysis of images. The software utilizes an xml file to store metadata associated with the images. This application was developed using the model, view, controller software architecture model.
- DDesign of an Enhanced FOD Inspection System for the Aircraft Production ProcessAug 2014 - Current (12 years)FOD, or Foreign Object Debris/Damage is an issue that troubles aircraft manufacturing, and results in a loss of around $4 billion annually for the aerospace industry. This project proposes the use of X-Ray imaging alongside image diffing algorithms in order to raise the probability of detecting FOD earlier in the manufacturing process, saving the majority of FOD associated costs. In order to prove the effectiveness of our system, we utilize a discrete event queuing simulation in order to analyze the non-linear impact on cost by increasing probability of detection at early stages of production.
- SSimulation of the Housing Market and Projections for the Future – System Modeling and Simulation ProjectJan 2014 - May 2014 (5 months)Led a four-student team to gather historical U.S. housing market data to use in predicting future market values using a method of time-series expansion. Developed a stand-alone desktop application in java to work as both a data entry application and discrete event simulation software.
- DDynamic Fluid-Systems Model of Lake Mead – Dynamic Systems ProjectAug 2013 - Dec 2013 (5 months)Led five-student team to gather raw data and develop a fluid model of Lake Mead and its connecting rivers. Developed a system block diagram in Simulink and created a written report for final delivery.
- OOptimizing Product Delivery for Pharmaceutical Trial Distribution – Operations Research ProjectAug 2013 - Dec 2013 (5 months)Worked in a three-student team to develop an optimization model for a mock pharmaceutical company. Created a written report for final delivery to the notional customer with optimization recommendations based on sensitivity analysis.