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farshidghaffari/README.md

Farshid Ghaffari

Plant engineer building websites, SEO workflows and practical AI tools

I spent twelve years in medical and industrial gas production, progressing from junior production engineer to plant manager and co-owner. Today, based in Gyumri, Armenia, I build websites and digital tools for technical businesses and take on industrial engineering work.

My industrial experience covers cryogenic air separation, high-pressure compressors, plant maintenance and cylinder testing. I built and equipped a hydrostatic cylinder testing laboratory and led it through ISO/IEC 17025 accreditation with INSO 6792 in scope.

What I work on

  • Multilingual websites, technical SEO and local search for businesses in Armenia and abroad.
  • AI assistants that answer from document libraries with inspectable source citations.
  • Internal operations systems, reporting workflows and practical data automation.
  • Plant maintenance and laboratory systems, informed by hands-on operating experience.

I define the problem, requirements and system design, use AI coding tools to accelerate implementation, and review and test the result. Odoo and TPM are my next development direction. Client SEO results will be shared when measured and approved for publication; I do not claim unverified ranking gains.

Selected work

Project What you can inspect Public scope
Multilingual SEO Check HTML hreflang, canonical and indexing checks with JSON, CSV and Markdown evidence reports. Runnable Python CLI, 18 offline tests, CI configuration and a dated five-page live example.
FactoryMind Multilingual RAG assistant over seven manuals and 666 pages, with source-page citations. Live demo Public case study and deployed demo; production source and original PDFs are private.
Industrial operations system Requirements, workflows and system decisions for an internal operations and reporting system used at the plant. Documentation and synthetic examples; private company data and application source are excluded.
PyxMint Translator Face-to-face multilingual conversation workflow tested in cafés in Gyumri. Documentation-only case study; observations are qualitative, not performance benchmarks.
Excel / CSV reporting automation Input validation, rejected-record handling and a six-sheet report workbook. Runnable Python example with tests, CI and synthetic data.
CSV data cleaner and validator Heading normalization, duplicate removal and required-column checks. Runnable Python example with tests and CI; not comprehensive semantic validation.

How I work

Diagnose the problem, map the workflow, build the smallest useful system, verify the result and document the handover.

My public repositories distinguish working implementations from documentation-only case studies. The industrial background explains how I approach problems; the code and evidence show what each software project actually delivers.

Website · Websites and SEO · Work · Contact · LinkedIn

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  1. industrial-operations-automation-case-study industrial-operations-automation-case-study Public

    Real-world case study of turning fragmented industrial operations into a connected internal business system.

  2. pyxmint-translator-case-study pyxmint-translator-case-study Public

    Documentation-only case study of PyxMint: designing and field-testing a browser-based workflow for face-to-face multilingual conversation.

  3. excel-csv-report-automation excel-csv-report-automation Public

    Automated data-to-report workflow that validates CSV/Excel inputs and generates structured, business-ready Excel reports.

    Python

  4. csv-data-cleaner-validator csv-data-cleaner-validator Public

    Reusable data-quality workflow for cleaning, validating, deduplicating, and preparing CSV data for reliable imports and automation.

    Python

  5. multilingual-seo-check multilingual-seo-check Public

    Dependency-free Python CLI for evidence-based HTML hreflang, canonical and indexing checks, with JSON, CSV and Markdown reports.

    Python