Tyler Page

About

Systems-oriented engineer with strong Python depth who repeatedly improves throughput in complex, ambiguous environments by designing pragmatic human-in-the-loop automation. Notable wins include a record-validation workflow that put a department over six months ahead of schedule and saved $500K+, plus AI-assisted and migration tooling integrated with Jama for engineering requirements and traceability.

Key Strengths

• Process automation under startup-like constraints
• Reduced manual workload enough to move a department 6+ months ahead of schedule
• Delivered over $500K in savings through workflow redesign
• Designs human-in-the-loop systems that preserve quality and build trust
• Strong Python hands-on development across automation, APIs, data processing, and internal tools
• Reverse-engineered and optimized a production React/TypeScript application
• Improved application latency and reduced server load without disrupting production users
• Architecture discovery and rapid productivity in unfamiliar codebases
• Large-scale enterprise data migration and standardization
• Balanced technical implementation with stakeholder alignment across multiple engineering teams
• Built AI-assisted requirements generation integrated into existing Jama workflows
• Emphasis on maintainability, documentation, and knowledge transfer

Experience

Education

Skills

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Publications

1 publication