EGELAND
Software engineer building production systems at the intersection of data, computer vision, and real-world measurement.
Operator Profile
About
I design and build production software that connects physical measurements to reliable, repeatable digital analysis. My work sits at the intersection of software engineering, instrumentation, and real-world systems.
I'm particularly drawn to problems where correctness, calibration, and traceability matter — environments where software must perform consistently across operators, hardware, and time.
Outside of work, my interests in cars and music continue to shape how I think about systems, feedback, and performance — both technically and creatively.
System Capabilities
Skills
Languages
- ▸C#
- ▸Python
- ▸JavaScript / TypeScript
- ▸Ruby
Frameworks & Runtimes
- ▸.NET
- ▸React
- ▸Node.js
- ▸Ruby on Rails
Systems & Domains
- ▸Computer Vision
- ▸Analytical Instrumentation
- ▸Calibration & Measurement Systems
- ▸Standards-Driven Software
Tooling & Practices
- ▸Git & CI/CD
- ▸Production Diagnostics
- ▸Customer-Facing Systems
- ▸Cross-Functional Collaboration
C#
.NET
Python
JavaScript
React
Node.js
Ruby
RailsDeployed Systems
Projects
Lushify
STATUS: ArchivedA point-of-sale and operations system built for a floral business, designed to streamline inventory, order management, and daily workflows.
Synth-etic
STATUS: ArchivedA web-based dual-oscillator synthesizer exploring real-time audio generation, user interaction, and signal flow in the browser.
Current Inputs
Research & Reading
I approach learning as an ongoing system rather than a series of isolated efforts. My current inputs span formal education, structured self-study, and long-form technical reading — all of which directly inform how I design and reason about software systems.
The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
Mustafa Suleyman
Focus: Societal, political, and ethical implications of advanced AI and emerging technologies
Why Machines Learn: The Elegant Math Behind Modern AI
Anil Ananthaswamy
Focus: Mathematical foundations of machine learning and modern AI models
Artificial Intelligence & Machine Learning (Ultra-learning Project)
Stanford University
Focus: Machine learning fundamentals, model evaluation, applied AI systems
B.S. in Computer Science
DePaul University
Focus: Algorithms, systems, and core computer science foundations