Python Automation & Backend Engineer for document processing, internal tools, and AI workflows.

I build practical systems for operations-heavy teams: workflow automation, document extraction pipelines, and internal tools with reliable APIs and reviewable logic.

I’m especially strong in projects such as:

• Gmail / Calendar / Sheets / API automation
• PDF extraction with OCR fallback
• FastAPI backends for internal workflows
• RAG and citation-backed knowledge tools
• Workflow-driven systems with external integrations

Workflow automation
I build Python tools that reduce manual work across email, scheduling, spreadsheets, APIs, batch jobs, and CLI-based operations.

Typical examples:

• Gmail triage and reply drafting
• Calendar-aware workflow support
• Spreadsheet and API synchronization
• Scheduled batch jobs and reporting tools

Document AI pipelines
I build PDF ingestion and extraction pipelines with OCR fallback, structure recovery, and precision-first processing for contracts and business documents.

Typical examples:

• Contract and business document parsing
• OCR fallback for scanned PDFs
• Structured extraction to JSON / CSV
• Review support workflows for internal teams

Backend systems
I build FastAPI services, workflow-driven backends, integrations, internal dashboards, and small SaaS-style systems.

Typical examples:

• Internal tools with clean APIs
• Workflow state handling and integrations
• Retrieval and knowledge APIs
• Small backend systems for operations teams

Applied AI workflows
I build RAG systems, citation-backed answer flows, LLM routing, and review support tools for internal knowledge and operations.

Typical examples:

• Internal document Q&A with citations
• Retrieval pipelines with reproducible chunking
• Rule-based LLM routing by task type
• Review and summarization support workflows

contract-ingest
Contract PDF ingestion core for native-text-first parsing and OCR fallback. Focused on Japanese contracts, structure recovery, and high-precision extraction.

internal_automation
Internal automation MVP for Japanese business email triage, reply drafting, and calendar-aware workflow support.

chatbot
Citation-first RAG template with FastAPI, retrieval, and reproducible chunk preparation for internal knowledge workflows.

ai_router
Rule-based LLM router that switches providers by task type and supports fallback-oriented workflow design.

booking_zoom_connect
Multi-tenant scheduling MVP with explicit workflow states, external integrations, and operations-aware design.

• Async-friendly collaboration
• Clear written communication
• Small milestones and reviewable deliverables
• Reproducible, testable, operations-aware implementation

Python, FastAPI, Pydantic, PyMuPDF, PaddleOCR, PostgreSQL, TypeScript, NestJS, Next.js, Prisma, Docker, Chroma, OpenAI-compatible APIs

I’m currently focused on Python automation, document processing, internal tooling, and applied AI workflow projects for remote international clients.

GitHub: rai0409
Timezone: Japan Standard Time (UTC+9, async-friendly)