David Vincent
@davidvincent
I am a full-stack software engineer specializing in Python backends and AI-driven web applications.
United StatesWhat I'm looking for
I am a full-stack software engineer focused on Python backends, modern frontend frameworks, and AI-powered applications. I build scalable, user-centric web platforms that integrate NLP and LLM features to deliver responsive, production-ready experiences.
I've led architecture for high-throughput systems, including a file ingestion pipeline processing 1.5M+ legal documents/month and an AI/NLP pipeline using HuggingFace achieving 92% tagging accuracy. I've shipped features that cut document retrieval and backend response times, built component libraries improving client task completion by 18%, and contributed to fraud detection systems processing 20B+ transactions annually.
I mentor engineers, establish AI best practices, and design reliable event-driven microservices and real-time APIs. I hold an M.S. in Data Science and seek roles where I can lead backend architecture, drive AI integration, and collaborate across product and engineering teams.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
DISCO
Mar 2021 - Present (4 years 7 months)
Led architecture for a file ingestion system processing 1.5M+ legal documents/month and integrated HuggingFace NLP pipelines achieving 92% metadata tagging accuracy, while deploying AI-driven search that reduced document retrieval time from minutes to seconds.
Senior Software Engineer
Visa
Jul 2019 - Feb 2021 (1 year 7 months)
Engineered a real-time fraud monitoring dashboard processing 20B+ annual transactions, improving fraud detection response by 35% and deploying event-driven microservices with Kafka to cut message delivery delays by 50%.
Project Engineer
Union Pacific Railroad
Oct 2015 - Jul 2019 (3 years 9 months)
Developed an internal app hosting platform (Python backend, Vue frontend) supporting 150+ apps and automated Docker/Ansible deployments to reduce onboarding from 3 days to under 3 hours, while building real-time train tracking dashboards that cut operational response times by 25%.
Education
Degrees, certifications, and relevant coursework
UAUniversity of Texas at Austin
Master of Science in Data Science, Data Science
2021 - 2023
Completed M.S. in Data Science at the University of Texas at Austin from 2021 to 2023.
UNUniversity of Nebraska-Lincoln
Bachelor of Science in Computer Engineering, Computer Engineering
2012 - 2017
Completed B.S. in Computer Engineering at the University of Nebraska-Lincoln from 2012 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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