v
vlad_yanhirov

Vlad Y.

@vlad_yanhirov

Pragmatic T Shaped Backend Engineer specializing in Python infrastructure

Ucrânia
Inglês, Russo, Ucraniano
Algumas informações são exibidas no idioma inglês.
Sobre mim
Pragmatic Backend Engineer specializing in Python infrastructure, cryptocurrency payment integrations, and AI automation. Focused on building maintainable systems using Clean Architecture, ensuring they are scalable, secure, and cost-effective to deploy via Docker and CI/CD pipelines.... Saiba mais

Habilidades

v
vlad_yanhirov
Vlad Y.
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Desenvolvimento de chatbots de IA
I will build a production ready ai telegram bot llm, voice, vision
A partir deUS$ 100 /projetoMais detalhes
Sites Personalizados
I will build a production ready telegram mini app store with crypto payments
A partir deUS$ 800 /projetoMais detalhes

Portfólio

Experiência profissional

Freelance

Freelance

Freelance • 6 mos

Backend Engineer

Mar 2026 - Aug 2026 • 5 mos

Web Telegram Shop (TMA + Crypto Payments) Designed and deployed a production-ready e-commerce backend integrated directly into Telegram Mini Apps. • Architecture: Architected the system strictly decoupling business logic from frameworks (Use Cases & Repositories) for high maintainability and testability. • FinTech Integration: Engineered secure, asynchronous Webhook handlers for cryptocurrency gateways (NOWPayments, CryptoBot) to process global transactions with zero chargebacks. • Infrastructure: Fully containerized the application stack using Docker and Docker Compose, optimizing deployment for cloud environments. • Automation: Set up continuous integration pipelines (GitHub Actions) for automated QA checks (Ruff, Mypy, Pytest) and configured Celery/Redis for background task processing.

AI Integration Developer

Jan 2026 - Feb 2026 • 1 mo

Personal AI Telegram Bot (LLM + Voice + Vision) Built a highly optimized, context-aware AI companion capable of processing text, voice, and images in real-time. • AI & API Integration: Implemented low-latency LLM and Vision inference via Groq API, coupled with local zero-shot Voice Cloning using Coqui XTTS. • Hardware Optimization: Profiled application memory usage to run heavy machine learning models efficiently on constrained hardware (15GB T4 GPU), implementing memory management techniques to prevent Out-Of-Memory (OOM) errors. • Bot Engineering: Developed a robust asynchronous Telegram bot interface using Aiogram to handle multi-format user inputs continuously.