Career Training Portfolio

Illya Fefelov

Curated materials for my transition toward AI integrations, LLMOps, MLOps, and data infrastructure work with a strong delivery and automation backbone.

Open Retrospective Open Resume Page Open LinkedIn Page

Repository Map

Below is a structured index of the materials I use to present my background, current focus, and supporting evidence.

career-docs/ resumes/ research/ workshops/ archive/

career-docs/

Living narrative, LinkedIn framing, self-presentation, and positioning documents.

LinkedIn profile pagePageMy headline, About section, and selected experience narrative Professional interests pagePageMy Ukrainian positioning map, target domains, and recurring themes LinkedIn Post OutlinesThree LinkedIn-style content directions Self-Presentation ScriptInterview and intro script

resumes/

Current resume variants and supporting PDFs for hiring conversations.

MLOps resume pagePageMy resume summary, skills, and selected experience in web format MLOps Resume MarkdownMarkdown source for the MLOps resume Targeted Resume VariantTargeted company-specific variant Resume PDFShareable final PDF version Resume PDF SimpleMinimal alternate export

research/

Analytical writing that shows market awareness, synthesis, and structured technical review work.

Ukraine IT Trends ReviewIT market trends, myths, and outlook Performance Review AnalysisReview of performance review practices in IT projects Ukraine IT Research PDFRepresentative source PDF from the research archive

workshops/

Workshop notes, career-growth materials, SWOT artifacts, and supporting exercises.

SWOT and Development Plan WorkbookFilled SWOT and development plan workbook Career Goals WorksheetCareer goals source document Personal Brand Workshop PDFBrand and positioning workshop material

archive/

Legacy materials, old exports, job-market data, and historical project files kept outside the main story.

Job Market Research CSVStructured market research data Job Market Research UTF-8 CSVUTF-8 export of the research dataset

README Highlights

This section summarizes the core ideas behind the repository and the role direction I am actively building toward.

What This Repo Is For

This is a curated career portfolio for my transition into MLOps, AI Engineering, LLMOps, and data infrastructure with a strong emphasis on applied systems, workflow orchestration, AI integrations, and practical operational value.

  • Documenting the shift from full-stack delivery and automation toward production AI and data workflows.
  • Capturing current career positioning, resume variants, and interview-ready messaging.
  • Preserving supporting research and career materials in a reviewable structure.

What I Am Looking For

  • MLOps, AI Engineering, and LLMOps roles with real delivery accountability.
  • AI integrations, automation, and reliable model-driven workflows.
  • Data infrastructure, ETL, analytics pipelines, and decision-support systems.
  • Teams that value practical systems over hype and reward delivery mindset.

How To Use This Repo

  • Start with the resumes and positioning pages if you want the fastest overview of my direction and fit.
  • Use INDEX and the clickable map above to jump to current narrative and resume files.
  • Open research and source documents for evidence of analysis, synthesis, and execution.

Key Messages

  • AI is positioned here as part of production workflows, not as a vague trend label.
  • The background combines product delivery, frontend engineering, automation, and a growing data/ML systems layer.

For the complete file map and individual summaries, the raw markdown sources remain available through README.md and INDEX.md.

GitHub