Backend / Fullstack Developer Β· AI Character Systems
I build systems where code, behavior logic, memory, perception and long-term interaction meet.
π’ Open to junior Backend / AI-integration roles Β· remote
- π» Backend, fullstack, AI systems and automation
- π οΈ I like projects that combine code, behavior logic and system architecture
- π€ Focused on local AI characters, LLM pipelines and character-based runtimes
- π Improving OOP, testing, clean backend architecture and project structure
- βοΈ I use AI tools as accelerators, but I shape and review the architecture myself
M.A.R.I.A. is my long-term author-driven local AI character ecosystem β not a chatbot or a companion SaaS, but a believable single-user character with memory, subjective perception, personality and long-term continuity, running locally through Ollama.
Under the hood: a self-written ML perception brain, a cognitive memory / dossier layer, a dedicated local world-runtime and a permission-gated controlled-agency layer.
π Explore the ecosystem through the hub β M.A.R.I.A.
The hub is the public entry point β philosophy, ecosystem map and direction. A sanitized runtime
snapshot lives in M.A.R.I.A.-Core-Sanitized-Snapshot; active development continues privately.
Role-based access (admin / teacher / student) with modules, lessons, tests and grades. Split into two repositories:
- online_platform_api Β· Backend Β·
PythonFastAPI + async SQLAlchemy on PostgreSQL Β· JWT auth with login throttling Β· dependency-based role guards Β· management of users, groups (Excel import), modules, subjects, lessons, tests and grades. - online_platform Β· Frontend Β·
JavaScriptReact + Vite Β· authentication & protected routes Β· student personal account Β· module/lesson pages Β· tests & grades Β· teacher and admin panels.
π§ͺ Sandbox_with_LLM β LLM experiments
A branch-based sandbox for small LLM-powered systems β each branch is an independent prototype with its own goal, README and tests.
π¨ Telegram_Bot β NSTU Helper Β· Python
Telegram bot for NSTU freshmen (built on aiogram 3): RU/EN navigation, campus events, popular places and quick surveys.
- Growing M.A.R.I.A. as a single-user local AI character runtime β perception, memory, behavior
- Cleaner Core / external-clients architecture and API contracts
- Stronger backend design, OOP, tests and project structure
- Local LLM pipelines, memory systems and character-based agents
- GitHub: @HontoUKI
This profile is part of my path as a developer, system thinker and creator of M.A.R.I.A.