Pavel Krieger — Founder & Developer
Full-Stack & AI Automation Architect with experience designing and shipping production AI services for Web and BI systems. Work spans data workflows, model integration into products, and end-to-end system architecture. Active R&D and participation in DeAI/Blockchain ecosystems.
Technology stack
Python; TypeScript/Node.js/Next.js; SQL, PostgreSQL/Supabase; REST/GraphQL APIs; AWS & Google Cloud; Docker & CI/CD; ML/LLM tooling (inference, retrieval, evaluation); cryptography; Solidity/EVM when applicable.
Key expertise
- Architecture and development of AI-powered web and BI services
- End-to-end data workflows: ingestion, normalization, validation, governance, delivery
- LLM-based applications for search, enrichment, classification, and decision support
- Productionization: testing, monitoring/observability, quality metrics, reliability
- Database engineering for analytics and operations (schema design, performance)
- Systems integration via APIs and event-driven patterns
- DeAI/Blockchain: protocol research, validator/participant operations, and smart-contract development when relevant
- Applying cryptographic methods in practical development
Public proof
The work is backed by deployed tools with public proof links — live applications, not slideware. The GitHub profile linked above collects the repositories and tools behind the engineering examples on this site.
How to work with acty.dev
Every engagement starts from a task review and runs through discovery, build, deploy, and support against an agreed scope. For personal contact with Pavel, the fastest start is a short message describing the work and the outcome you need: pavelacty.dev.
