Sean Rassa
Software and Hardware Development Engineer at Woodward McCoach, Inc.- Claim this Profile
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Bio
Credentials
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CCNAv7: Switching, Routing, and Wireless Essentials
Cisco Networking AcademyJun, 2021- Nov, 2024 -
CCNA Routing and Switching: Introduction to Networks
Cisco Networking AcademyJun, 2020- Nov, 2024
Experience
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Woodward McCoach, Inc.
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United States
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Software Development
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1 - 100 Employee
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Software and Hardware Development Engineer
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Sep 2023 - Present
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Drexel University
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United States
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Higher Education
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700 & Above Employee
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STAR Scholar
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Jun 2023 - Sep 2023
The STAR (Students Tackling Advanced Research) Scholars Program is an opportunity for highly motivated first-year students to engage in an early faculty-mentored undergraduate research, scholarship, or creative experience during the summer after their freshman year. This highly competitive program seeks to identify and encourage students to take a hands-on approach to their education through undergraduate research. My project title: Physics-Constrained Neural Network Fast Approximates of Reflection High-Energy Electron Diffraction Abstract: Pulsed Laser Deposition (PLD) is a widely used material science technique that deposits material onto a substrate. Reflection High Energy Electron Diffraction (RHEED) is commonly used to monitor the surface crystallinity of the deposited material. These techniques combined allow controlled growth for material fabrication. Typically, these systems rely on video cameras operating at 60-120hz, which fail to capture growth dynamics at practical deposition frequencies. By operating at 500hz, high-speed RHEED can provide real time insight into growth processes obscured by slower acquisition systems. Using this high-speed and information dense imagery has allowed the development of a neural net that can parameterize RHEED results in real time. This neural net is based on a physics-constrained LeNet5 that serves as a fast approximate for fitting RHEED. In the future, this model will be implemented on a Field Programmable Gate Array (FPGA) connected to the high-speed camera, allowing for real time control and adjustment of the testing devices. Throughout this project, I: ● Learned essential Linux skills ● Gained extensive python experience (coding 35hrs/week). ● Met with experts in the fast machine learning field across all disciplines. ● Developed an effective machine learning model using both Pytorch and Tensorflow. ● Began integrating the machine learning model onto an FPGA for testing. Show less
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Self-employed
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North Plainfield, New Jersey, United States
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Engineering Design and Development Class
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Sep 2021 - Jun 2022
o Researched the negative effects of backpacks in children aged between 5-18 o Interviewed industry related professionals and surveyed students to collect feedback about backpacks o Led a team of four students to design a variety of solutions upon the premises of effectiveness, adjustability, affordability, weight, durability, and eco-friendliness o Sketched the initial modular backpack utilizing AutoCAD and built a physical prototype o Documented a 135-page report and presented to the North Plainfield’s Board of Education Show less
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Johnson & Johnson
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United States
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Hospitals and Health Care
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700 & Above Employee
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J&J Technology Awareness Program
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Nov 2019 - Jan 2021
o Tasked with developing a solution to increase doctor’s engagement with Ethicon’s post-training event surveys o Worked collaboratively with Johnson & Johnson employees and a group of 3 other students o Developed a website and web app that served as a central hub for Ethicon events and made it beneficial and easy for doctors to provide feedback o Presented the solution to Johnson & Johnson directors for evaluation o Tasked with developing a solution to increase doctor’s engagement with Ethicon’s post-training event surveys o Worked collaboratively with Johnson & Johnson employees and a group of 3 other students o Developed a website and web app that served as a central hub for Ethicon events and made it beneficial and easy for doctors to provide feedback o Presented the solution to Johnson & Johnson directors for evaluation
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Education
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Drexel University
Bachelor of Science - BS, Electrical Engineering -
North Plainfield High School
High School Diploma