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RuslanGaliullin/README.md

πŸ‘‹ Hi, I'm Ruslan Galiullin

AI Application Engineer building LLM-powered solutions at Yandex Lavka

LinkedIn GitHub Email

πŸ“ Moscow, Russia | πŸ• GMT+3 | πŸ“± +353 85 119 1174


πŸ’‘ About Me

Software Engineer with experience at Yandex and in High-Frequency Trading, building high-load distributed systems and low-latency infrastructure. I've taken technical ownership of product streams, covering the full development cycle: from shaping product requirements and system design to setting up automated testing, CI/CD, and production monitoring. Strong background in C++ microservices and system optimization.

Beyond backend engineering, I participated in integrating LLM Voice Agents into retail workflows, launching the country's first voice assistant for hands-free ordering. I enjoy complex algorithms and am deepening my expertise in Distributed Systems at YSDA (Yandex School of Data Analysis).


πŸ’Ό Experience

🟒 Yandex

Moscow, Russia
Yandex Lavka β€” Major Q-commerce service (15-min grocery delivery), comparable to Getir or Gorillas.

πŸ€– AI Application Engineer

Sep. 2025 - present
LLM Agents MCP Voice Agents

  • Pioneered the country's first retail voice assistant powered by LLM agents, enabling hands-free ordering via natural language commands.
  • Integrated intent-based smart replies into the AI chat assistant, driving a 1.5x increase in DAU.
  • Automated product variant generation in the PIM system by developing a custom AI tool, reducing manual workload by 5 FTEs.
  • Led the AI stream for PIM and the Client App, managing a team of two in planning and execution.

βš™οΈ Software Engineer, Backend

Oct. 2023 - Sep. 2025
C++ Userver Microservices PostgreSQL

  • Boosted robot utilization by 20% through leading delivery robot development.
  • Accelerated time-to-market for new features by 50% via a new offer generation mechanism.
  • Launched weighted products in Yandex Lavka, growing GMV by 0.65%.
  • Rolled out deferred delivery, driving a 4.66% increase in order volume.
  • Developed an integration testing platform for Yandex Lavka backend.
  • Reduced system criticality from Tier A to B by optimizing the delivery conditions service.
  • Lowered support requests by 7% by introducing automated returns through SupportAI.

πŸ’Ή Mosaic Research Capital

Quantitative Developer
Sydney, Australia (remote) | Sep. 2022 - Sep. 2023
Solidity Python C++ Web3 Asyncio

  • Researched and implemented trading infrastructure for the Uniswap V3 protocol, unlocking access to a wide range of new tokens and market opportunities.
  • Optimized custom trading smart contracts for Uniswap V3, reducing gas consumption by approximately 11% per transaction.
  • Implemented a transaction simulator on Ethereum (L1/L2) using a local Geth node via gRPC, reducing simulation time by 60x.
  • Integrated Flashbots bundles for atomic transaction execution, eliminating front-running risks and ensuring zero gas waste on reverted trades.

πŸŽ“ Education

🎯 Yandex School of Data Analysis

Distributed systems design program
Moscow | Sep. 2025 - present

πŸ›οΈ Higher School of Economics

BSc in Software Engineering, GPA: 8.6 / 10
Moscow | Sep. 2021 - Aug. 2025


πŸ› οΈ Skills

Languages

C++ Java Python SQL JavaScript Mathematica YQL

Backend & Infrastructure

PostgreSQL Redis Kafka Docker Kubernetes Terraform Nginx Protocol Buffers gRPC Spring Framework REST API Java EE Linux Git CI/CD Grafana Prometheus

AI & Libraries

Userver FastAPI Asyncio PyTorch Pandas

Computer Science

Algorithms & Data Structures Distributed Systems Systems Design OOP Competitive Programming High-Load Architecture Concurrent Computing

Soft Skills

Leadership Mentoring Business Alignment Document Review Interview Preparation

Human Languages

English (Fluent)

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