Scott Schimpf
Lakeland,FL
Summary
Software Engineer prepared to develop high-impact software of the future. Strong background in team oriented work-flows, software architecture design, and quality assurance, with a focus on delivering complex and high-quality software. Known to take charge on product development and demonstration with life-long history in performance and leading.
Overview
9
9
years of professional experience
Work History
Software Engineer
ZuLeris Interactive
05.2024 - Current
- Company Overview: Providing next generation synthetic training for US Army Electromagnetic Warfare personnel in the US Army.
- Developed a Networking Framework for the flagship product to support network functionality capable of serving multiple users simultaneously. This framework facilitates network functions such as: Session hosting & connection, data communication, and authority distribution. Achieved up to nearly 75% network traffic reduction through upgrades. (C#, Networking)
- Led Design of the flagship Unity product Electronic Warfare Virtual Training Environment using agile methodologies. Included organizing development cycles, managing production and development code bases, and on-boarding new hires.
- Primary developer on a 6-month partnership contract to develop plug-ins for cross-platform data communication between ATAK and our flagship product. This plug-in enables seamless, bidirectional data transfer over Multicast and Cursor-on-Target protocols. (Java, UI Design, Networking, Plug-in Development)
- Improved productivity and workflows by establishing a CI/CD pipeline for automated build generation and distribution through version control.
Generative AI Research
UCF
08.2023 - 08.2024
- Company Overview: Generative AI Research at UCF under Dr. Ewetz: Generating 3D models and scenes from Video input
- Utilized Nvidia's Neuralangelo to collect and process point-cloud data from 3D scenes in Nvidia Omniverse. Later used this data in a tool-chain featuring multiple Machine Learning algorithms to perform object separation, classification, and manipulation. (Nvidia Omniverse, Machine Learning Toolchains)
- Researched and applied novel methods of 3D object generation based on orthographic camera data from Fish-eye lenses.
- Produced a Unity tool to collect large scale training data for image to 3D model generation Machine Learning algorithms. (Data collection)
Robot Vision Research
UCF
05.2023 - 08.2023
- Company Overview: Robot Vision Research at UCF under Dr. Ewetz: Creating Adversarial Examples for Image Attack Detection Algorithms.
- Researched and implemented machine learning attack methods such as the Fast Gradient Sign Method and Projected Gradient Descent to produce misclassification in up to 85% of images attacked. (Imagenet, FGSM, PGD)
- Used these methods to attack an L-inf Projected Gradient Descent Attack Detector model to produce benign attack classification and image classifier misclassification. (Machine learning, Neural Networks)
Quality Assurance Technician
BenTek
05.2016 - 02.2020
- Worked closely with the client support and quality assurance team to provide timely responses through email and phone channels. Diagnosed technical problems, answered product-related inquiries, and acted as an information liaison between technical and support teams.
- Designed and implemented automated testing procedures for new product features using the TestComplete software suite. Collaborated with QA and Development teams to document and correct errors found through testing. (Automated Testing, HTML)
- Addressed development tickets for corporate clients to generate customized SQL data queries. Utilized Jira to organize requests and task orders in a timely manner. (SQL, Jira)
Education
Bachelor of Science - Computer Science
University of Central Florida
Orlando, FL12.2024
Cyber Defense Training Camp - Cyber Defence
University of Maryland
College Park, MD07.2018
Machine Learning and Deep Neural Networks - Machine Learning & Neural Networks
ID Tech At The University of Miami
Miami, FL07.2017
Skills
- Proficient Languages: C#, Python, Java, SQL
- Object-oriented programming
- Machine Learning & Neural Networks
- Automated Testing Software
- Agile Methodologies & Management
- Software Architecture
- Program Networking & Multiplayer Systems
- Automated Testing
- Technical Leadership
- Stakeholder Demos & Public Speaking
Boot Camps
- Cyber Defense Training Camp, University of Maryland
- Machine Learning and Deep Neural Networks, ID Tech at The University of Miami
Timeline
Software Engineer
ZuLeris Interactive
05.2024 - Current
Generative AI Research
UCF
08.2023 - 08.2024
Robot Vision Research
UCF
05.2023 - 08.2023
Quality Assurance Technician
BenTek
05.2016 - 02.2020
Bachelor of Science - Computer Science
University of Central Florida
Cyber Defense Training Camp - Cyber Defence
University of Maryland
Machine Learning and Deep Neural Networks - Machine Learning & Neural Networks
ID Tech At The University of Miami
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