I'm a Senior Backend Engineer with 7 years of experience designing and scaling distributed systems. I build reliable, high-performance backend infrastructure with a focus on scalability, and have recently been working on production LLM agents and retrieval pipelines.
- Python, FastAPI, Flask, Django
- PostgreSQL, MongoDB, Elasticsearch
- Redis, RabbitMQ, Kafka, Celery, Asyncio
- LLM agents, LangGraph, LangChain
- RAG pipelines, embedding workflows
- Vector databases: Qdrant, Pinecone, pgvector
- LLM observability: Langfuse
- AWS, Docker, Kubernetes, Terraform
- Grafana, Prometheus, Sentry
- CI/CD pipelines (GitHub Actions)
- Implemented KYC verification flow for a crypto exchange, integrating external identity provider APIs with AML compliance.
- Integrated 3 new blockchain networks and 20+ tokens, expanding multi-chain trading capabilities.
- Tech: Python, FastAPI, AWS, PostgreSQL, Docker, Terraform, Redis, Celery
- Built a production LLM agent for WekaFS to execute cluster operations over SSH with strict safety controls.
- Designed the full RAG pipeline: ingestion, structured chunking, embeddings, Qdrant indexing, hybrid search with reranking — serving 10k+ docs.
- Developed a GitHub Actions–triggered microservice for selective test execution, reducing CI time from 50 min to 20 min.
- Tech: Python, LangChain, LangGraph, FastAPI, Qdrant, Terraform, AWS, Docker, Langfuse
- Built a subscription-based billing system from scratch, enabling transition to recurring revenue.
- Migrated product catalog from monolith to microservices, reduced deploy time from 15 min to 6 min.
- Implemented async order queue with RabbitMQ and Celery to handle traffic spikes.
- Tech: Python, AWS, Kafka, PostgreSQL, Elasticsearch, Redis, Flask, Django
- Contributed to backend services using Python, Django, Celery, Redis, RabbitMQ, PostgreSQL.
Production LLM agent for orchestrating cluster operations over SSH.
Tech: Python, LangGraph, LangChain, FastAPI, Langfuse, AWS
End-to-end retrieval pipeline: ingestion, chunking, embeddings, vector indexing, hybrid search with reranking.
Tech: Qdrant, PostgreSQL, Hugging Face, LangChain
Microservice reducing CI pipeline runtime via PR-diff–based test selection.
Tech: Python, GitHub Actions, Terraform, Docker
- LinkedIn: linkedin.com/in/yuri-volosheniuk
- Email: volosheniukyura@gmail.com