Core Philosophy
Human Amplification
over Full Automation
AI should enhance human expertise rather than replace it. In high-stakes environments where poor decisions can lead to explosions, environmental disasters, or expensive failures. Having a human-in-the-loop architecture is not a workaround, it's intrinsic part of Agentic architecture.
Although people should embrace an AI-native mentality, I challenge the "automate everything" mentality, especially for translating complex security data into the operational language of engineers who manage physical systems. A human-centered design approach is key to success.
Design Process
For Enterprise Cybersecurity Solutions
I enjoy designing functional, usable products that augment the human capacity with Agentic AI. My skills help teams learn, engage, and iterate until the best solutions are found.
Strategy
User Research
Giving engaging presentations of data and insights from user research, I gather minds around good ideas and form concepts with the input of key stakeholders.
Discovery
Quick Prototyping
From research and rough sketches to pixels and motion, I collaborate with developers to take a concept or project from an idea to MVP prototypes ready for user testing.
Execution
Iterative Development
Taking into account the end-user’s feedback, I develop concepts all the way to the release of mission-critical systems where cognitive load management is a matter of life-or-death.
Speaking & Advocacy
Signature Talk: "The Human Factor in AI-Powered IT/OT CyberSecurity
- Event Tekna AI & Cybersecurity Operationalizing AI for Engineers
- Event RunwayFBU Founder Events The Designer's Role in High-Stakes Tech
- Event ProductTank Riga Amplification vs Automation Architecture
Technical Stack
Practitioner + Thought Leader
My workflow integrates high-fidelity prototyping with strategic research. I leverage AI tools to facilitate practical implementation while maintaining human-centered control.
Deep research synthesis, literature review, and knowledge extraction for complex domains.
Strategic planning, jobs-to-be-done analysis, and multi-modal reasoning.
Code generation, architectural decisions, and technical documentation.
Rapid MVP creation and high-fidelity interactive prototypes for user testing.
AI-augmented development environments for accelerated coding workflows.
Design-to-code pipelines and project management integrations via Model Context Protocol.
I use AI to accelerate the learning loops that connect what we build to the impact it has on customers and the business. Research synthesis, assumption testing, and rapid prototyping.