Full-Stack Software Engineer with Strong Backend / .NET Depth

Software Engineering CV

I approach software as an engineering system: clear boundaries, readable code, useful abstractions, and delivery habits that keep products maintainable after launch. My core strength is backend and API development with .NET, while my current growth track includes AI application development, developer tooling, and structured automation.

Contact PDF CV will be linked here after it is added.

Engineering Highlights

.NET and ASP.NET Core backend development with API-first design
Data-intensive product work across SQL, LINQ, PL/SQL, and GraphQL
React-based full-stack delivery with maintainable frontend boundaries
AI / MCP / LLM tooling as an active focus alongside production engineering
Technical writing that documents engineering tradeoffs and implementation patterns

Technical Toolkit

Backend and APIs

.NET
C#
ASP.NET Core
REST APIs
Authentication
Clean architecture

Data and Querying

SQL
LINQ
Entity Framework
ADO.NET
PL/SQL
Oracle

Frontend

React
JavaScript
HTML
CSS
Responsive UI
Component-driven thinking

Realtime and Integration

GraphQL
Realtime data flows
XML
API contracts
Data modeling
Performance tuning

Industrial and Device Integration

S7.NET
Siemens S7-1500
PLC integration
TIA Portal
Structured memory mapping
OT/IT connectivity

AI and Agentic Development

LLM application development
MCP
Agentic workflows
Prompt-driven tooling
Developer automation
Workflow orchestration

Engineering Foundations

Algorithms
Data structures
Testing mindset
Documentation
Technical writing
Maintainability

Experience & Education

Backend, full-stack, and maintainable product development

Software Engineering Focus

Designing application layers, APIs, data models, and frontend flows with an emphasis on clarity, testability, and long-term maintainability.

Active focus area

AI Tooling and Agentic Workflows

Exploring LLM application development, MCP integrations, agentic workflows, and prompt-driven tooling that improves engineering throughput without sacrificing reliability.

Practical engineering communication

Technical Writing and Knowledge Sharing

Publishing technical articles on LINQ, JavaScript performance, GraphQL, PL/SQL, and PLC integration to demonstrate implementation thinking and clear technical communication.

Computer Engineering

Academic foundation in software development, algorithms, data structures, databases, operating systems, computer networks, and engineering problem solving.