AI/ML research
Turning intelligent systems from abstract possibility into measurable behavior.
Senior C# Backend Developer | AI Graduate Researcher
Engineering dependable systems and practical AI learning.
I connect production-grade .NET architecture, artificial intelligence research, and teaching into work that helps people build software with discipline, clarity, and momentum.
"Make it correct, make it clear, make it concise, make it fast." - Wes Dyer
25+
Years in software development
10+
Years in senior .NET backend work
4
Published research papers
CU
AI graduate studies at Boulder
Profile
Industry depth with a researcher's curiosity.
I bring a rare blend of long-running industry experience and active academic exploration. My background is anchored in C#, .NET, backend architecture, databases, and distributed systems, while my current graduate work in Computer Science focuses on Artificial Intelligence at the University of Colorado Boulder.
The thread across my work is practical rigor: make systems explainable, durable, and teachable so students, engineers, and teams can move from theory to reliable implementation.
Current Focus
Where I am investing attention now.
Advanced .NET architecture
Designing service boundaries, APIs, and data flows that stay maintainable under pressure.
Distributed systems
Working through coordination, resilience, and observability in real backend environments.
Computer science education
Helping learners build strong mental models, not just memorize framework syntax.
Expertise
Technical range built for real systems.
From senior backend execution to AI-enabled thinking, my work sits at the intersection of architecture, data, research, and instruction.
C# and .NET
ASP.NET Web API, .NET Core, Blazor, enterprise backend systems, and legacy modernization.
C#
.NET
APIs
Architecture
Clean architecture, MVC, service design, REST contracts, and pragmatic system boundaries.
Microservices
Design
Data and persistence
SQL Server, PostgreSQL, MySQL, schema design, query behavior, and data model evolution.
SQL
Modeling
Performance
Artificial intelligence
Graduate AI work, ML concepts, data science foundations, and intelligent application design.
AI
ML
Research
Research
AI thinking grounded in measurable software outcomes.
My research interests live where intelligent systems, human reasoning, and software engineering meet. I care about AI that can be evaluated, explained, and used to improve the way people learn, build, and decide.
Discuss collaborationAcademic writing shaped by software engineering discipline and applied AI questions.
Focused study through the University of Colorado Boulder.
Preference for clear hypotheses, observable behavior, and meaningful baselines.
Teaching
Courses that move from foundations to senior judgment.
Each course is designed to connect conceptual understanding with the habits expected in production software work.
Web Application
C# for Beginners
Programming foundations, syntax, control flow, and confidence with the C# ecosystem.
Web Application
C# for Junior Developers
Intermediate concepts, debugging habits, maintainable code, and applied best practices.
Architecture
C# Advanced
Senior-level patterns, backend design, performance awareness, and architecture tradeoffs.
Database
SQL and Modeling
Relational thinking, query mastery, schema quality, and practical database design.
Principles
How I try to make complex work useful.
- Correct first. Systems need truth before speed.
- Explain the model. Good engineering gives people a mental handle.
- Design for change. Architecture should absorb reality, not deny it.
- Teach the judgment. Tools matter, but durable skill comes from reasoning.
Contact