Summary
Maxim Shalavin is a Senior Software Engineer and solutions architect with 10 years of experience building high-load Golang backends and production-grade GenAI platforms that scale to enterprise traffic. He blends fintech-grade performance engineering (backends comfortably handling >15k RPS) with practical LLM opsโRAG, low-latency serving, observability, and KV-cache/Torch/CUDA tuningโto translate ambiguous product needs into measurable outcomes like lower latency and reduced infra costs. At MERKELEON he architected resilient microservices, Kafka pipelines, and an agentic AI assistant that autonomously analyzes alerts to cut MTTR, while earlier roles span security automation, blockchain integrations, and ClickHouse-backed data platforms. An active open-source practitioner (github.com/astronaut27), he publishes tooling such as a public CRAG Docker deployment and an LLM Profiler, showing a bias for reproducible, battle-tested infra. Based in Tbilisi and educated at Innopolis University, he brings a rare combination of low-level performance chops and pragmatic ML systems engineering.
10 years of coding experience
6 years of employment as a software developer
specialist, Security of computer and information systems / data protection, specialist, Security of computer and information systems / data protection at Siberian State University of Telecommunications and Information Science
Master's degree, Software Engineering(MSIT-SE,Pre-Master), Master's degree, Software Engineering(MSIT-SE,Pre-Master) at Innopolis University
Russian, English