About AI Systems Studio
Practical AI systems, built around the workflow.
I'm Abhay Rana, an independent AI systems engineer based in India. I help document-heavy B2B teams assess and implement bounded AI-assisted workflows and private knowledge systems.
The engagement starts by making the current process, evidence, data boundaries, exception paths, and success criteria explicit. That is what separates a useful pilot from a polished but untestable demo.
Based in
India
Delivery
Remote-first
Focus
Workflow AI and RAG
Method
Evidence before claims
Delivery principles
Start with one business workflow, an owner, and a measurable baseline.
Use normal software for deterministic rules and AI only where interpretation helps.
Design permissions, fallbacks, review, and observability before broader autonomy.
Document assumptions, limitations, operating costs, and handoff responsibilities.
Relevant capabilities
Technology is selected after the workflow and constraints are understood; this is a capability list, not a claim that every engagement uses every tool.
- Next.js and TypeScript applications
- Python and API services
- Document ingestion and retrieval
- PostgreSQL, pgvector, and managed vector stores
- Model-provider and business-system integrations
- n8n, Make, and code-based workflows
- Evaluation, tracing, and human-review design