AI that fits the work
Internal tools for transcription, course creation and translation. LLM applications, RAG prototypes and API integration, grounded in a concrete workflow.
AI applications / Discovery / Prototyping
Expertise
Technical depth. Human context.
I work where technology choices, clear explanation and business priorities need to meet.
Enablement people can use
Technical learning shaped with engineers and subject-matter experts, from SCORM courses to live sessions and practical API mentoring.
Technical training / Workshops / Learning operations
Customer context before a solution
Founder experience in discovery, proposals, negotiation and delivery. A practical understanding of the conversation between a business need and a technical choice.
Discovery / Demonstrations / Stakeholder alignment
Systems that support a team
Technology strategy, infrastructure, identity, documentation and delivery coordination. The operating detail that gives a team room to do useful work.
Technology operations / Documentation / Coordination
Practical technical foundation
Enough depth to ask better questions.
Tools are part of the work. The context and the ability to explain a choice matter just as much.
AI and internal tools
- AI-assisted workflows
- LLM applications
- RAG prototypes
- Python
- FastAPI
- API integration
Technology operations
- Cloudflare
- Docker
- Linux / Ubuntu
- Microsoft 365
- Entra ID
- cloud infrastructure
- technical documentation
Training and communication
- Technical training
- workshop facilitation
- SCORM
- VILT
- iSpring
- Articulate
- public speaking
- stakeholder communication
Business and clients
- Client discovery
- proposals
- negotiation
- cross-functional coordination
- entrepreneurship
- Business Analytics
The next conversation
Let’s find the useful question.
Open to opportunities where technical understanding meets customers, teams and business.