Skip to content

Nonedefined/Nonedefined

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 

Repository files navigation

Yuri Volosheniuk

Senior Backend Engineer

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.


Tech Stack

Backend

  • Python, FastAPI, Flask, Django
  • PostgreSQL, MongoDB, Elasticsearch
  • Redis, RabbitMQ, Kafka, Celery, Asyncio

AI / LLM

  • LLM agents, LangGraph, LangChain
  • RAG pipelines, embedding workflows
  • Vector databases: Qdrant, Pinecone, pgvector
  • LLM observability: Langfuse

Infra / DevOps

  • AWS, Docker, Kubernetes, Terraform
  • Grafana, Prometheus, Sentry
  • CI/CD pipelines (GitHub Actions)

Experience

CoinMena — Senior Backend Engineer (Aug 2025 – Present)

  • 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

Weka — Senior Backend & AI Engineer (Jan 2023 – Aug 2025)

  • 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

Innovecs — Backend Engineer (Nov 2020 – Jan 2023)

  • 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

Eva — Backend Developer (Oct 2019 – Nov 2020)

  • Contributed to backend services using Python, Django, Celery, Redis, RabbitMQ, PostgreSQL.

Featured Projects

WekaFS LLM Agent

Production LLM agent for orchestrating cluster operations over SSH.
Tech: Python, LangGraph, LangChain, FastAPI, Langfuse, AWS

RAG Pipeline for AI Assistant

End-to-end retrieval pipeline: ingestion, chunking, embeddings, vector indexing, hybrid search with reranking.
Tech: Qdrant, PostgreSQL, Hugging Face, LangChain

CI Optimization via Selective Testing

Microservice reducing CI pipeline runtime via PR-diff–based test selection.
Tech: Python, GitHub Actions, Terraform, Docker


Contact

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published