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Portfolio • Repositories • Telegram

• Public repositories: 30+
• Active product repos: 4+
• AI/automation projects: 3+
• Main focus: local-first assistants, Telegram bots, backend automation

I build practical local-first AI products and automation tools:

• voice and task assistants in Python
• FastAPI backends and integrations
• React frontends for clear product UX
• Telegram bots for daily workflows

• vasya_ai - flagship local-first AI assistant with voice, tasks, calendar, API layer, and integrations.
• aboutme - live portfolio as a macOS-inspired React desktop with GitHub project sync and Markdown blog.
• tajnyj_ded_bot - completed Telegram bot case with private Secret Santa matching flow.
• taskflow_orchestrator - backend-heavy FastAPI orchestration API with PostgreSQL, Redis, Celery, and Docker.

• Released aboutme v0.1.0: macOS-style portfolio, GitHub project sync, Markdown blog, RU/EN content.
• Released vasya_ai v0.5.50: current flagship milestone for the local-first assistant.
• Released tajnyj_ded_bot v0.1.0: first documented Telegram bot release.

• Short demos for vasya_ai, aboutme, and Telegram bot flows
• good first issue tasks for small, well-scoped contributions
• Cleaner Quick Start verification across active repositories
• Practical notes about local-first AI, automation, and product-oriented repo packaging

• vasya_ai - Local-first desktop AI assistant (voice, tasks, calendar, API)
• aboutme - Portfolio with GitHub project sync and bilingual content
• tajnyj_ded_bot - Telegram Secret Santa bot with private matching flow
• taskflow_orchestrator - FastAPI task orchestration backend with Postgres, Redis, Celery, and Docker

1. vasya_ai
   Problem: local AI assistant without cloud dependency.
   Result: voice-first MVP with tasks/calendar, API layer, and integrations (Notion/GitHub/Google Calendar).

2. aboutme
   Problem: portfolio content gets stale with manual updates.
   Result: automatic GitHub project sync, bilingual content, and stable GitHub Pages delivery.

3. attendance_bot
   Problem: manual work-time tracking in chats and spreadsheets is error-prone.
   Result: Telegram bot with status flows, reporting, and CSV export for daily team usage.

4. taskflow_orchestrator
   Problem: async backend workflows need predictable queues, persistence, and operational boundaries.
   Result: FastAPI service skeleton with PostgreSQL, Redis, Celery, Docker, and release-ready documentation.

• Product-oriented repo READMEs with setup and architecture
• Real deployment flow (GitHub Pages)
• Local-first AI focus with integration layer (Notion/GitHub/Google Calendar)