Computer engineering · North Dakota State University
Mason Grajczyk
Computer Engineering student with hands-on experience architecting, deploying, and operating self-hosted infrastructure across Linux, containers, networking, and hardware.
Seeking systems, infrastructure, and DevOps roles where reliability, performance, and operational excellence matter.
Practical technical work, end to end.
I thrive where systems have to stay up: troubleshooting, deploying, and structuring complex environments for reliability at every layer.
How I work
I bring structure, systems thinking, and a bias toward simple, maintainable solutions. Detail-oriented and comfortable operating across software, hardware, and operations to drive issues through to resolution.
What I like building
Self-hosted infrastructure, deployment workflows, and projects where software meets physical hardware, from edge networking to a purpose-built touchscreen control console.
Core toolkit.
Technologies I deploy, integrate, and operate across infrastructure, data, and hardware.
- Infrastructure
- Linux
- Docker
- Docker Compose
- Nginx
- Cloudflare
- TLS / PKI
- SSH
- Networking
- DNS architecture
- Reverse proxying
- Network-wide DNS filtering
- Network migrations
- Software + data
- Python
- SQL
- JavaScript
- Java
- MATLAB
- VHDL
- LLM integration
- Real-time dashboards
- Hardware
- Raspberry Pi
- Embedded Linux
- GPU acceleration (VAAPI)
- FFmpeg
- Operations
- Performance benchmarking
- Disaster recovery
- Service monitoring
- Technical documentation
Selected engineering projects.
Self-directed infrastructure, hardware, and performance work. Architected, deployed, and operated end to end on hardware I own.
Containerized private cloud platform
Architected and operate a production-style Linux private cloud with end-to-end edge networking, automated TLS, and documented disaster recovery.
MasonDeck hardware control console
Raspberry Pi 5 control plane delivering live service health, remote server operations, and network-wide DNS resolution and filtering from a single pane of glass.
GPU-accelerated video processing pipeline
Benchmark-driven hybrid GPU/CPU transcoding pipeline. Identified a hardware encoding bottleneck and re-architected for maximum throughput.
Professional experience.
From industrial automation to healthcare records: ownership, accuracy, and systems people rely on every day.
Technical Intern · Erdman Automation
- Engineered an in-house, LLM-powered automation tool that gives employees self-service access to AI-driven workflows.
- Built a Python and SQL operations-analytics application unifying shipment, quoting, and employee performance data into a single source of truth.
- Deployed real-time data monitors that give employees live visibility into their own workflow, surfacing bottlenecks and driving continuous efficiency improvement.
- Delivered additional in-house applications from requirements through deployment in partnership with end users.
Medical Records Technician · OGI
- Managed indexing and electronic storage of critical records, resolving data discrepancies to improve retrieval reliability.
- Consolidated data from multiple sources into accurate, compliant records for cross-departmental use.
Outdoor Adventures · NDSU Wellness Center
- Trained new staff on safety protocols and risk-management standards.
- Owned inventory control and quality assurance for technical equipment.
Let's talk.
Open to opportunities involving systems, IT, engineering, and practical technical problem-solving.
B.S. Computer Engineering
North Dakota State University
Fargo, North Dakota
Expected spring 2027