Eric Trautsch

Software Engineer
Building reliable AI systems and infrastructure

Experience

AI Software Engineer at Precedent
Remote | March 2025 — Present
  • Spearheaded design and development of core features, including medical imaging extraction and concurrent processing without service degradation or excessive complexity.
  • Improved engineering experience and system stability through automation, testing frameworks, and purpose-built operational utilities.
  • Led a large-scale Python runtime migration and managed Terraform-based infrastructure and build architecture, ensuring compatibility, reliability, and early completion across multiple services.
AI Operations Engineer at Collins Aerospace
Cedar Rapids, IA | May 2023 — March 2025
  • Architected, designed, and continuously improved CI/CD pipelines and SDLC practices using GitHub Enterprise, Sonatype Nexus, Jenkins, and MLflow, accelerating and stabilizing deployments production services and hosted generative AI models.
  • Optimized cloud resource utilization, achieving 15% monthly cost reduction (~$144K annually).
Software Engineering Intern at Collins Aerospace
Cedar Rapids, IA | May 2020 — May 2023
  • Led the creation of automated factory-floor reporting, delivering time savings and quality improvements that saved $100K over five years.

Projects

Production Reliability Enhancements Summer 2025
PagerDuty, Monitoring, Incident Management
  • Modernized production monitoring by migrating to PagerDuty, accelerating alerting, eliminating missed incidents, and improving customer-perceived reliability.
  • Built auto-clearing monitoring windows and authored on-call runbooks, reducing incident management overhead by 3 hours per day and significantly lowering operational burden.
  • Implemented input splitting and recombination at scale, unlocking new billing opportunities and expanding supported data/document sizes.
Generative AI Deployment - Visible Thread Writer Fall 2024
AWS, CloudFormation, LLM Infrastructure
  • Designed and automated infrastructure for deploying Large Language Models (LLMs) in customer environments using CloudFormation, ensuring scalability, security, and high availability.
  • Enabled more than $1M/year in value by ensuring seamless deployment and operationalization of LLMs, directly benefiting internal applications.

Education

M.S. in Data Science University of Iowa
Iowa City, IA
Fall 2024
B.S.E. in Computer Science & Engineering with Minor in Statistics University of Iowa
Iowa City, IA
Spring 2023

Skills

Languages: Python, Bash, Go
Developer Tools: Docker, CI/CD, Terraform, CloudFormation, AWS, Linux
Soft Skills: Communication, Mentorship, Problem Solving