Vladimir Kochergin

- Developed a Model Context Protocol (MCP) server in Go to bridge corporate AI chatbots with internal microservices for real-time pricing and availability.
- Automated tag and booking question mapping for new providers using LLMs, significantly reducing manual CMS workload.
- Integrated the Google Maps API to enable landmark search capabilities while maintaining master database integrity.
- Implem

Outsourced work for one of the largest ride-hailing apps.
◦ Developed a tax and commission calculator service for KSA and UAE.
◦ Integrated with the government tax agency
◦ Developed a service to ensure the consistency of reports and transactions.
◦ Optimized SQL queries and concurrent data pipelines to improve data processing speed.

Social network with AI generated images for streamers and Anime fans
- Moved golang-monolith into microservices, because of heavy video-processing with CPU
- Led process of migration from Node.js monolith to Golang + NATS microservice infra
- Made internal workshop for team of Node.js developers about Golang best practices
- Worked with Google Cloud functions, tasks, lambda-functions for video-pro

Worked in USA startup, which mission was enabling to see paths of incoming request through whole infrastructure
- Created an advanced observability OpenTracing tool based on Jaeger's fork with paths ver 1.0
- Worked on Ingester that enables storing and quering data (volume - 5k traces per second)
- Collected data with Kafka and streamed logs into ElasticSearch and Grafana-Tempo storage
- Made real

- Started as Senior engineer, then grew up to Tech Lead for data blockchain integration
- Made mobile and web based api for blockchain data (token prices, transactions, volumes)
- Built own blockchain scanner on top of Golang and NATS using ETL pipelines
- Made integrations with KYC/KYB system

Worked in the biggest retail marketplace with 20+mil MAU from the company’s foundation. During work I have participated in 3 company’s key products
Price Crawler
- Developed crawlers and parsers for online retail merchants. Created parsers to get current prices and availability.
- Optimized code and queries for high load (~10k prices per minute)
- Provided cleaned data for ML-team via

Worked on quto.ru, high-load (3M+ MAU) auto portal
- Moved site from PHP5 to 7
- Optimized main SQL queries for high load (add indexes, denormalisation data, master-slave DBS)
- Moved PHP distributed monolith to Ruby
Key achievement: Optimized key parts of the system for high load

Worked in outsource development team with ERP system
- Refactored the old legacy code from procedural style to OOP
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