Junior Product Engineer / Product-minded Backend Engineer 2nd-year FIIT student at Moscow Aviation Institute (MAI).
I build MVPs with Python, Django, Telegram Bot API, and AI/API integrations. I’m interested in backend architecture, product engineering, AI automation, and end-to-end delivery — from user flow and API design to deployment, logs, diagnostics, and product improvements.
Currently looking for Product Engineer / Backend Intern / Junior Backend opportunities.
- Backend: Python, Django, Django ORM, REST/API basics, CRUD, validation, error handling
- AI & Automation: Telegram Bot API, Groq/Whisper API, RAG basics, Chroma (vector DB), embeddings, chunking, prompts
- Infrastructure: Linux, SSH, Cloud.ru VM, Amvera, Docker Compose basics,
.env, logs, proxy/VPN constraints, Git/GitHub - CS Fundamentals: C/C++, CMake, Google Test, algorithms, data structures, memory management (custom allocators), files, processes, pipes
- Tools: VS Code, PyCharm, CLion, PowerShell, terminal workflow
- Telegram Audio Transcriber — Telegram bot for voice-to-text via Groq Whisper API. Worked with real-world constraints: RAM limits, API timeouts, proxy/network issues, logging, and deployment on Amvera and Cloud.ru VM.
- CSKA Tribune AI — Product prototype for AI-generated stadium fan performances. Developed the backend demo flow, data export logic, and product packaging.
- AI Wellness Quest — Wellness product prototype focused on gamification, daily user loops, progress visualization, and engagement mechanics.
- Team Finder — Django backend project with models, forms, views, pagination, selectors/utils, authentication logic, and code review architectural improvements.
- Telegram: @Armani_tg
- Email: arman120906@mail.ru