Organize resumes by company in subdirectories
- Create subdirectories for each company (files/, valon/) - Move company-specific resumes and cover letters to their directories - Update Makefile to support FILE_NAME paths (e.g., files/resume-name) - Improve clean target to recursively find .log files - Update CLAUDE.md with new directory structure documentation - Add examples for building PDFs from subdirectories - Document cover letter placement and usage This improves organization as more job-specific resumes accumulate. Files can now be organized by company for easier management. Makefile usage: make resume # root directory (default) make resume FILE_NAME=files/paul-halvorsen-files-backend-engineer make resume FILE_NAME=valon/paul-halvorsen-valon-software-engineer Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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valon/paul-halvorsen-valon-cover-letter.md
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valon/paul-halvorsen-valon-cover-letter.md
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# Cover Letter: Paul Halvorsen — Software Engineer at Valon
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Dear Hiring Team,
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I'm writing to express my strong interest in the Software Engineer role at Valon. After following your work in fintech and regulated industries, I'm genuinely excited about the opportunity to contribute to ValonOS and help transform how the mortgage industry operates.
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Throughout my 15+ years as a backend engineer, I've spent most of my career building infrastructure for systems that require uncompromising reliability—the kind where failures cascade and impact customers directly. I've built distributed systems handling billions of events daily, engineered APIs serving Fortune 500 companies, and optimized systems that reduced resource consumption by 80-90%. But what excites me most about Valon isn't the scale problem itself—it's that you're solving it *within a regulated industry*. The complexity of federal, state, and agency requirements is a fundamentally different challenge than traditional tech, and that's exactly what I want to learn and master.
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What draws me to Valon specifically is your approach. Most companies try to bolt technology onto broken legacy systems. You built your own mortgage servicing business first—not as a feature, but as a way to deeply understand the problem space. That thinking resonates with me. I've always believed that understanding your domain completely is table stakes for building great software. Your transformation from 0% to 60%+ margins proves that philosophy works. And seeing a team from Stripe, Jane Street, Meta, and Google building something in fintech tells me you've recruited for both technical excellence and the ability to learn complex new domains.
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I'm confident I can succeed in this role. I learn quickly—I've worked across Python, Go, Rust, and C; built systems on Kubernetes, Docker, and GCP; and shipped complex features in distributed systems repeatedly. More importantly, I'm genuinely curious about regulated industries and excited to spend the next few years diving deep into mortgage servicing. I want to be part of a team that's rewriting the playbook for an entire industry.
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I'd love the opportunity to discuss how my background in building reliable, scalable infrastructure can contribute to Valon's mission.
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Thank you for considering my application.
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Warm regards,
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Paul Halvorsen
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paul.halvorsen@pm.me
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+1-410-236-4665
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valon/paul-halvorsen-valon-software-engineer.md
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valon/paul-halvorsen-valon-software-engineer.md
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---
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name: Paul Halvorsen
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keywords: software engineer, Python, Kubernetes, distributed systems, Google Cloud, Docker, system design, scalable infrastructure, fintech, API design
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left-column:
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- 'Software Engineer'
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- 'Email: [paul.halvorsen@pm.me](mailto:paul.halvorsen@pm.me)'
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- 'Phone: +1-410-236-4665'
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right-column:
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- 'LinkedIn: [www.linkedin.com/in/paul-halvorsen](www.linkedin.com/in/paul-halvorsen)'
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- 'Git: [https://git.halvo.me/paul](https://git.halvo.me/paul)'
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- 'Blog: [https://flow.halvo.me](https://flow.halvo.me)'
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---
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# Summary
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Full-stack engineer with 15+ years building systems at scale. Deep expertise in distributed systems, Python development, and building robust infrastructure for complex, regulated domains. Proven ability to learn new technologies and problem spaces quickly while maintaining code quality and system reliability. Experience designing and operating systems handling billions of dollars in transactions with zero tolerance for failure. Excited about solving hard problems at the intersection of technology and regulated industries.
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# Work Experience
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## Abnormal AI
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**Software Engineer**: Jan 2026 - Present (Remote)
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- **Large-Scale Infrastructure**: Architect and maintain 10 Kubernetes clusters across multiple regions (US East, US West, EU West, government) with auto-scaling and production-grade reliability requirements
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- **Python Microservices**: Build and maintain core data aggregation services handling real-time and long-term storage with comprehensive pytest coverage and unit testing throughout
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- **System Design & Operations**: Design systems that reliably serve multiple customers simultaneously with varying data requirements across geographies
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- **Performance & Reliability**: Implemented auto-scaling strategies and compression pipelines to increase efficiency and manage costs at scale
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- **Cross-functional Collaboration**: Work in tight team environment with heavy inter-team communication in monorepo structure; partner with infrastructure, backend, and product teams
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- **Ownership Model**: Own features end-to-end from design through deployment and monitoring
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## Binary Defense
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**Sr Software Engineer**: April 2022 - Oct 2025
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- **Distributed Event Processing at Scale**: Built systems serving Fortune 500 enterprise customers handling billions of events daily across thousands of endpoints
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- **Infrastructure & Reliability**: Deployed on Windows, Linux, and macOS with cross-platform testing and reliability as foundational requirement
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- GitLab CI/CD pipelines for compilation, testing, and deployment
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- Docker containerization for consistent reproducible builds
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- **Python Backend Development**: Designed and built multiple production services with focus on performance, reliability, and maintainability
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- pytest-driven test suite ensuring confidence in changes
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- Performance optimization: reduced CPU usage 90%, memory usage 60%, network traffic 80%
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- Built data serialization and transformation pipelines for reliable backend communication
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- **System Design**: Engineered event-driven architectures handling filesystem, user, and network events with deterministic behavior
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- **Architecture & Standards**: Wrote RFCs and ADRs to drive technical decisions; contributed to code quality and documentation standards
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- **Complex Integrations**: Designed secure integrations with Azure and other third-party services
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- **Team**: Collaborated with experienced engineering team in SCRUM environment with strong code review practices
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## Kyrus Tech
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**Sr Software Engineer**: Nov 2020 - April 2022
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- **Distributed Systems**: Designed and built multi-layered distributed systems with REST APIs and complex routing logic
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- **Test-Driven Development**: Implemented comprehensive testing strategy using pytest; built infrastructure to enable confident, rapid deployments
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- **Python & Docker**: Built containerized services leveraging Docker for reproducible deployments
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- **Low-Level Systems**: Worked on performance-critical code including reverse engineering and systems analysis
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# Technical Skills
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**Languages**: Python (Advanced), GoLang, Rust, C, JavaScript
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**Infrastructure & Cloud**: Kubernetes (10+ production clusters), Google Cloud Platform (GCP), Docker, containerization, system design, microservices architecture
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**Backend Development**: REST APIs, distributed systems design, database design (SQLite, MySQL), event-driven architecture, scalable data pipelines
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**Testing & Quality**: pytest, test-driven development (TDD), comprehensive unit and integration testing, code review culture
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**DevOps & Tools**: GitLab CI/CD, Docker, Kubernetes, monitoring, logging, performance profiling
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**Soft Skills**: Quick learner, cross-functional collaboration, autonomy, code quality focus, rapid iteration
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# Education
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- **University of Maryland Baltimore Campus** - Masters in Computer Science (2013)
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- Research in distributed systems and network security
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- **Salisbury University** - Bachelors in Computer Science (2009) - Magna Cum Laude
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valon/paul-halvorsen-valon-software-engineer.pdf
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valon/paul-halvorsen-valon-software-engineer.pdf
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