Delivery scope
Backend services, internal applications, automation, and production-facing engineering work.
About
Senior full-stack engineering with real systems depth.
I am a software engineer with 7+ years of professional experience delivering backend services, internal web applications, automation, and production infrastructure. My work has ranged from .NET Core and SQL services to React-based tools, operational automation, and hybrid cloud environments supporting security-sensitive operations.
My formal background is in computer engineering, with an M.Sc. focused on parallel computing, GPU programming, and distributed systems. In practice, that means I can work across product-facing software, platform concerns, and lower-level performance work without losing sight of delivery, maintainability, or operational reality.
Operating context
The environments and responsibilities I work well in.
Broad technical range matters most when it holds up in delivery, operations, and maintainable systems work.
Typical environments
Hybrid infrastructure, security-sensitive operations, and business-critical internal workflows.
Technical range
Full-stack software delivery with deeper reach into systems, performance, and compute-oriented work.
Working style
Maintainable systems, operational ownership, and practical engineering rather than narrow specialization.
Experience
Career path, technical range, and how I work.
The mix is deliberate: product delivery, operational ownership, and lower-level engineering depth in the same profile.
Career timeline
Software Engineer & Systems Administrator
Industrial software and internal platform environment
- Built .NET Core, SQL, and React-based services and tooling for user access auditing and network device management.
- Delivered internal web applications and operational tooling for business-critical workflows.
- Managed hybrid Azure and on-prem environments, with automation and controls aligned to ISO 27001 work.
Trainee Software Designer
Industrial software environment
- Developed internal automation tooling that reduced repetitive manual work across IT-related workflows.
Education
Novia UAS and Åbo Akademi University
- M.Sc. in Computer Engineering with focus on parallel computing, GPU programming, and distributed systems.
- B.Eng. in Electrotechnics and Automation.
Experience areas
- Backend services, APIs, data models, and internal product development
- React and TypeScript interfaces for operational and business workflows
- Linux-first automation, scripting, deployment flows, and day-2 operations
- Systems integration, observability, access auditing, and security-aware engineering
- C, C++, graphics, GPU portability, and performance-sensitive software
How I work
- Prefer maintainable systems that can be operated and debugged by other people
- Use measurement, tests, and operational signals before making performance claims
- Automate repetitive work when the manual path is error-prone or slow
- Design with reliability, security, and observability in mind from the start
- Work comfortably across application code, infrastructure, and lower-level implementation details
Selected work
Work that reflects range, not just tools.
A few examples that show the blend of backend delivery, infrastructure thinking, systems work, and compute-oriented engineering.
Internal products and backend delivery
Designed and implemented backend services, SQL-backed tooling, and React applications for access auditing and network device workflows in a business-critical internal environment.
Infrastructure, automation, and operational ownership
Owned Linux-first automation and hybrid cloud operations across Azure and on-prem systems, improving consistency for recurring operational work.
Systems validation and deterministic tooling
Built validation-oriented systems work, including deterministic engine-control simulation and other tooling where repeatability, correctness, and auditability matter.
Graphics, compute, and GPU portability
Applied C, C++, OpenGL, CUDA, and HIP to visualization and compute-heavy projects, including work on running CUDA-oriented software on AMD hardware with comparable performance goals.