About AI Systems Studio

Abhay Rana — AI automation and RAG engineer.

I'm Abhay Rana, an independent AI systems engineer based in India. I help business teams build and repair AI workflows with Claude, OpenAI, Make, n8n, and Python APIs, and create knowledge assistants over approved documents.

My public work includes completed Make.com and GitHub/Railway AI automation contracts, plus portfolio projects in document extraction, RAG, and dashboards. Each project record explains the work and links to its public source.

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

Selected work

Automation, integration, and document extraction.

Public portfolio project

AI chess scoresheet parser

A portfolio application that turns photographed or scanned handwritten chess scoresheets into structured moves, validates them with chess rules, and supports replay on an interactive board.

OCR · Next.js · FastAPI · Move validation

Read the project record →