- Location: Kyiv, Ukraine
- Projects Portfolio: https://apps.bogdanovych.org/en/
Interactive Flet-based chat interface featuring configurable historical and fictional Ukrainian characters powered by Lapathoniia LLM provider.
- Architected and developed a cross-platform (Web & Desktop) conversational application using Python 3.12 and Flet (Flutter-based framework).
- Engineered dynamic character customization allowing rapid onboarding of new personas (such as Taras Shevchenko, Lesya Ukrainka, and Carpathian Hutsul) via YAML-based system prompt configurations.
- Integrated asynchronous LLM communication utilizing the
openaiclient (AsyncOpenAI) optimized for the Lapathoniia API, featuring user-controlled model parameters (temperature, max tokens). - Implemented reliable state and configuration management powered by Pydantic v2 and Pydantic Settings.
- Streamlined deployment & development workflow using Docker and uv for fast package synchronization and reproducible execution environments.
GitHub: https://github.com/BogdanovychA/slovohr-ai
Web: https://slovohr-ai.bogdanovych.org/
Open-source hotline automation system for government sector digitalization.
- Architected and developed a cross-platform application using Python 3.14 and Flet, strictly adhering to SOLID principles and modular design for long-term maintainability.
- Automated citizen appeal processes for the State Energy Supervision of Ukraine, implementing a scalable document generation engine (DOCX, MD, HTML) using the Registry Pattern and Jinja2 templates.
- Engineered a robust communications layer with secure SMTP (SSL/TLS) delivery and enterprise-grade data validation/configuration management using Pydantic v2.
- Streamlined deployment and development workflows using Docker and uv, ensuring consistent execution across Desktop, Web, and server-side environments.
- Standardized for Open Source & Research: Orchestrated the public release under EUPL-1.2, ensuring full metadata compliance with PEP 639 and establishing research citability via DOI.
GitHub: https://github.com/BogdanovychA/h-line
Asynchronous data persistence library for Flet applications.
- Designed and developed a reusable storage solution with automatic JSON serialization for complex data types
- Implemented data isolation via namespacing, enabling safe multi-module usage
- Published and actively maintained as an open-source package on PyPI
GitHub: https://github.com/BogdanovychA/flet-storage
PyPI: https://pypi.org/project/flet-storage/
AI Skill: https://skills.sh/bogdanovycha/flet-storage/flet-storage
Lightweight Project Fluent localisation manager with automatic locale fallback.
- Designed and developed a streamlined localization solution featuring automatic discovery of
.ftlresource files from the filesystem - Implemented a robust fallback chain (preferred locales → default locale → key itself) to ensure reliable string rendering across multiple languages
- Published and actively maintained as an open-source package on PyPI
GitHub: https://github.com/BogdanovychA/fluent-manager
PyPI: https://pypi.org/project/fluent-manager/
AI Skill: https://skills.sh/bogdanovycha/fluent-manager/fluent-manager
Lightweight Python wrapper for reliable retrieval of YouTube transcripts with automatic URL parsing and subtitle fallback.
- Designed and developed an open-source Python library that simplifies transcript extraction from YouTube videos across multiple URL formats, including
youtube.com,youtu.be,shorts, andembed - Implemented a resilient transcript lookup flow that prioritizes manually created subtitles and automatically falls back to YouTube-generated transcripts when needed
- Added developer-friendly features such as language discovery, optional timecoded output, and type hints to improve integration into automation, research, and content-processing workflows
GitHub: https://github.com/BogdanovychA/mr-transcript
PyPI: https://pypi.org/project/mr-transcript/
AI Skill: https://skills.sh/bogdanovycha/mr-transcript/mr-transcript
Lightweight asynchronous Python client for the Google Analytics 4 (GA4) Measurement Protocol.
- Designed and developed an asynchronous client using
httpxto send telemetry and events to Google Analytics 4. - Implemented connection pooling with async context managers and support for custom
httpx.AsyncClientinjection to optimize network overhead and reuse TCP connections. - Integrated a debug/validation mode using GA4's validation server (
/debug/mp/collect) to verify event payload structures without logging dummy production events. - Structured support for complex parameters, including nested e-commerce tracking objects (
items), lists, dictionaries, and primitives.
GitHub: https://github.com/BogdanovychA/measurement-api
PyPI: https://pypi.org/project/measurement-api/
AI Skill: https://skills.sh/bogdanovycha/measurement-api/measurement-api
Telegram-based interface for interacting with multiple LLM providers.
- Designed secure API key storage system using AES encryption
- Enabled safe multi-user interaction with Gemini, ChatGPT, and Claude
- Implemented multilingual support
GitHub: https://github.com/BogdanovychA/nexus-shell
Bot: https://t.me/NexusShellBot
Social application to honor the memory of fallen heroes.
- Developed cross-platform application (Web, Android) using Flet
- Implemented multilingual support
- Delivered a user-facing product with real-world purpose
GitHub: https://github.com/BogdanovychA/CodeUA
Web: https://codeua.foundation101.org/
Google Play: https://play.google.com/store/apps/details?id=org.foundation101.codeua
Collection of casual games for mobile and web platforms.
- Developed cross-platform applications using Flet
- Built and deployed web and Android versions
- Structured multi-project architecture for scalability
GitHub: https://github.com/BogdanovychA/bmg
Web: https://minigames.bogdanovych.org/
Google Play: https://play.google.com/store/apps/details?id=org.foundation101.minigames
RPG game based on D&D 5e mechanics with custom Ukrainian content.
- Developed backend logic for combat system, progression, and dice mechanics
- Integrated LLM APIs for dynamic interactions
- Built web-based interface using Streamlit and FastAPI
GitHub: https://github.com/BogdanovychA/karatel-game
Web: https://karatel.ua/

