David Ledbetter Email & Phone Number
@ngc.com
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Who is David Ledbetter? Overview
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David Ledbetter is listed as ML/SWE at Apple | Prev @ Apple/Cisco Meraki/NG | UMBC ‘23 BS | UMBC ‘24 MS CS/ML | Cyber Scholar | Meyerhoff Scholar | GEM Fellow at Apple, based in Pikesville, Maryland, United States. AeroLeads shows a work email signal at ngc.com and a matched LinkedIn profile for David Ledbetter.
David Ledbetter previously worked as Software Engineer at Apple and Full Stack Engineer at Xeddy. David Ledbetter holds Master Of Science - Ms, Computer Science from University Of Maryland Baltimore County.
Email format at Apple
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AeroLeads found 1 current-domain work email signal for David Ledbetter. Compare company email patterns before reaching out.
About David Ledbetter
Masters Computer Science student at University of Maryland, Baltimore County. with an Artificial Intelligence/Machine Learning focus pursuing where I conduct research involving intelligent systems, natural language processing and computer vision. I am currently seeking full-time roles involving machine learning and/or software development. Please find more about my experience below in my resume and my personal website: http://www.davidamosledbetter.com/
David Ledbetter's current company
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David Ledbetter work experience
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Full Stack Engineer
Current- Created food ordering platform/delivery service catered towards saving university students money.
- Wrote Golang backend to integrate square, toast, and stripe Point-of-Sale APIs for max-compatibility with vendors.
- Deployed backend with Docker to Google Cloud Platform, integrating token exchange, authentication and Firebase.
- Built iOS application for customers to order and explore, as well as React dashboard for vendors to manage sales.Skills Used: Golang, Containers, API integration, Token Handling, Full Stack Development
Research Development Software Engineer
Current- Designed application transparent kernel probe to monitor data transfers, new connections, and function signatures for security in distributed systems, including a language model to detect anomalies in syscall trace.
- Built Neural Turing Machine, to increase dependency length for DistilBERT to handle long-range syscall analyses.
- Created dataset for benign vs. malware execution, and conducted exploratory data analysis ensuring model success.
- Distilled GPT4V model for 96.7% reduction in latency communicating with autonomous agents like aerial drones.- Pioneered a novel approach for detecting anomalies among video streams combining local feature matching.
Undergraduate Teaching Assistant For Computer Science
- Used expertise in Python programming to teach 20 students in-person about data structures and coding in python.- Defined acceptance criteria for exam questions, homework, and projects for the entire class, (more than 320 students).- Held office hours/lab sessions and spoke enthusiastically with students who needed my help.
Software Engineer
- Reduced time and resource usage of a cloud-native service by over 50% and 75%, respectively.
- Designed an LSTM network with Attention to capture the behavior of test resources and select the optimal resource, as well as optimized behavior after selection with language-based classification of business-related.
- Implemented Splunk utility and automated Splunk queries in the backend to integrate the latest data with the service.
- Upgraded PostgreSQL database model and added endpoints for new and existing features, targeting Swift frontend.
- Preprocessed and cleaned dataset of 20 million events for training, then optimized the model for containerization.Skills Used: Machine Learning, Cloud Native Development, Swift, Python/FastAPI, Docker/Containerization
Software Engineer Intern
- Created new adaptive policy management features for the Meraki dashboard using React/ReduxJS and Ruby on Rails, allowing direct control over the modification of policy ACL’s and a more flexible user experience.- Navigated through an unfamiliar codebase quickly to modify backend support for new features.- Enhanced policy management API by addressing.
Software Engineer Intern
- Developed satellite operating system software collaboratively with a 12-member agile scrum team.- Reorganized memory management on navigation computers to remove class redundancy bottleneck. - Streamlined flight telemetry data representations for easier understanding by the team and greater organization.- Utilized Jira, Bitbucket, and Confluence for.
Software Quality Assurance Tester
Tested edge cases to shore up the user experience of a music playing app
Pharmacy Assistant
Managed Database of patients for the greater Baltimore metropolitan area.Loaded tablets into pill containers, and stored patient orders into electronic database.Handled call backlogs and delivery issues when pharmacists were busy.Waited on Patients seeking Covid-19 vaccinations.
David Ledbetter education
Master Of Science - Ms, Computer Science
Bachelor Of Science - Bs, Computer Science Ai/Ml, Minor In Statistics
Pltw Engineering
Electronics
Frequently asked questions about David Ledbetter
Quick answers generated from the profile data available on this page.
What company does David Ledbetter work for?
David Ledbetter works for Apple.
What is David Ledbetter's role at Apple?
David Ledbetter is listed as ML/SWE at Apple | Prev @ Apple/Cisco Meraki/NG | UMBC ‘23 BS | UMBC ‘24 MS CS/ML | Cyber Scholar | Meyerhoff Scholar | GEM Fellow at Apple.
What is David Ledbetter's email address?
AeroLeads has found 1 work email signal at @ngc.com for David Ledbetter at Apple.
Where is David Ledbetter based?
David Ledbetter is based in Pikesville, Maryland, United States while working with Apple.
What companies has David Ledbetter worked for?
David Ledbetter has worked for Apple, Xeddy, University Of Maryland Baltimore County, Cisco Meraki, and Northrop Grumman.
How can I contact David Ledbetter?
You can use AeroLeads to view verified contact signals for David Ledbetter at Apple, including work email, phone, and LinkedIn data when available.
What schools did David Ledbetter attend?
David Ledbetter holds Master Of Science - Ms, Computer Science from University Of Maryland Baltimore County.
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